\r\n\tThis book aims to present an overview of the current status of nanofibers, fabrication and recent trends in the fabrication of nanofibers, and functional nanofibers and applications of nanofibers in various fields including environmental, bio-sensing, drug delivery, catalysis, and medical. The book hopes to provide a piece of up-to-date information about the mentioned topics and fundamental knowledge necessary for the advanced study in the field of nanofibers and their applications, making it interesting to research students, scientists, engineers, and material scientists.
",isbn:"978-1-80356-387-9",printIsbn:"978-1-80356-386-2",pdfIsbn:"978-1-80356-388-6",doi:null,price:0,priceEur:0,priceUsd:0,slug:null,numberOfPages:0,isOpenForSubmission:!0,isSalesforceBook:!1,hash:"a255898117275990dffe83c75a9f815d",bookSignature:"Dr. Maaz Khan",publishedDate:null,coverURL:"https://cdn.intechopen.com/books/images_new/11462.jpg",keywords:"Nanofiber, Nanofiber Fabrication, Functional Nanofiber, Nanofiber Application, Fiber Technology, Electrospinning, Drug Delivery, Fabrication Strategy, Commercialization, Polymer, Tissue Engineering, Catalysis",numberOfDownloads:null,numberOfWosCitations:0,numberOfCrossrefCitations:null,numberOfDimensionsCitations:null,numberOfTotalCitations:null,isAvailableForWebshopOrdering:!0,dateEndFirstStepPublish:"February 23rd 2022",dateEndSecondStepPublish:"April 26th 2022",dateEndThirdStepPublish:"June 25th 2022",dateEndFourthStepPublish:"September 13th 2022",dateEndFifthStepPublish:"November 12th 2022",remainingDaysToSecondStep:"23 days",secondStepPassed:!0,currentStepOfPublishingProcess:3,editedByType:null,kuFlag:!1,biosketch:"Dr. Maaz Khan is an expert in the field of Nanoscience and Nanotechnology with over 100 articles and 3,300 citations to his name.",coeditorOneBiosketch:null,coeditorTwoBiosketch:null,coeditorThreeBiosketch:null,coeditorFourBiosketch:null,coeditorFiveBiosketch:null,editors:[{id:"107765",title:"Dr.",name:"Maaz",middleName:null,surname:"Khan",slug:"maaz-khan",fullName:"Maaz Khan",profilePictureURL:"https://mts.intechopen.com/storage/users/107765/images/system/107765.png",biography:"Dr. Maaz Khan is working as Deputy Chief Scientist (Professor) at PINSTECH, Pakistan. He has done Ph.D. and post doctorate in the field of Material Science (Nanoscience). His research interests include fabrication of nanomaterials and their structural, optical, magnetic, and electrical characterizations. He has authored more than 100 research articles and published 10 books. Presently, he is the Editor-in-Chief of ‘Journal of Materials, Processing and Design\\' and \\'The Nucleus\\'. He is also the Executive Editor of \\'International Journal of Nano Studies and Technology\\'. Dr. Maaz also serves as the editorial board member of several journals of Material Science.",institutionString:"Pakistan Institute of Nuclear Science and Technology",position:null,outsideEditionCount:0,totalCites:0,totalAuthoredChapters:"0",totalChapterViews:"0",totalEditedBooks:"9",institution:{name:"Pakistan Institute of Nuclear Science and Technology",institutionURL:null,country:{name:"Pakistan"}}}],coeditorOne:null,coeditorTwo:null,coeditorThree:null,coeditorFour:null,coeditorFive:null,topics:[{id:"17",title:"Nanotechnology and Nanomaterials",slug:"nanotechnology-and-nanomaterials"}],chapters:null,productType:{id:"1",title:"Edited Volume",chapterContentType:"chapter",authoredCaption:"Edited by"},personalPublishingAssistant:{id:"444315",firstName:"Karla",lastName:"Skuliber",middleName:null,title:"Mrs.",imageUrl:"https://mts.intechopen.com/storage/users/444315/images/20013_n.jpg",email:"karla@intechopen.com",biography:"As an Author Service Manager, my responsibilities include monitoring and facilitating all publishing activities for authors and editors. From chapter submission and review to approval and revision, copyediting and design, until final publication, I work closely with authors and editors to ensure a simple and easy publishing process. I maintain constant and effective communication with authors, editors and reviewers, which allows for a level of personal support that enables contributors to fully commit and concentrate on the chapters they are writing, editing, or reviewing. I assist authors in the preparation of their full chapter submissions and track important deadlines and ensure they are met. I help to coordinate internal processes such as linguistic review and monitor the technical aspects of the process. As an ASM I am also involved in the acquisition of editors. Whether that be identifying an exceptional author and proposing an editorship collaboration, or contacting researchers who would like the opportunity to work with IntechOpen, I establish and help manage author and editor acquisition and contact."}},relatedBooks:[{type:"book",id:"5404",title:"Raman Spectroscopy and Applications",subtitle:null,isOpenForSubmission:!1,hash:"7d447d2811c5d3fc696761bb12fe3166",slug:"raman-spectroscopy-and-applications",bookSignature:"Khan Maaz",coverURL:"https://cdn.intechopen.com/books/images_new/5404.jpg",editedByType:"Edited by",editors:[{id:"107765",title:"Dr.",name:"Maaz",surname:"Khan",slug:"maaz-khan",fullName:"Maaz Khan"}],productType:{id:"1",chapterContentType:"chapter",authoredCaption:"Edited by"}},{type:"book",id:"4644",title:"The Transmission Electron Microscope",subtitle:"Theory and Applications",isOpenForSubmission:!1,hash:"6ef878a14961b97ec0bc5c1762a46aa0",slug:"the-transmission-electron-microscope-theory-and-applications",bookSignature:"Khan 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by"}},{type:"book",id:"5884",title:"Unraveling the Safety Profile of Nanoscale Particles and Materials",subtitle:"From Biomedical to Environmental Applications",isOpenForSubmission:!1,hash:"5e5811aa0f15ab9d8b6a235e8408875d",slug:"unraveling-the-safety-profile-of-nanoscale-particles-and-materials-from-biomedical-to-environmental-applications",bookSignature:"Andreia C. Gomes and Marisa P. Sarria",coverURL:"https://cdn.intechopen.com/books/images_new/5884.jpg",editedByType:"Edited by",editors:[{id:"146466",title:"Prof.",name:"Andreia",surname:"Ferreira de Castro Gomes",slug:"andreia-ferreira-de-castro-gomes",fullName:"Andreia Ferreira de Castro Gomes"}],productType:{id:"1",chapterContentType:"chapter",authoredCaption:"Edited by"}}]},chapter:{item:{type:"chapter",id:"61215",title:"Solar Desalination",doi:"10.5772/intechopen.76981",slug:"solar-desalination",body:'For many years, efforts have been made to use solar energy for obtaining potable water from saline water. Some of the earliest solar powered desalination technologies were developed centuries ago, such as solar stills. There is an increasing demand for advancing conventional desalination technologies and developing novel solar powered desalination processes. The increasing demand for solar powered desalination systems is driven by the increasing cost of fossil fuels for thermal and electrical energy generation, falling cost of renewable energy technologies, need for small scale decentralized desalination systems to operate in remote areas that lack access to the electrical grid, and the concern over climate change. Solar powered desalination is especially important in remote and rural areas with low infrastructure and without connection to a grid. Small-scale stand-alone solar powered desalination systems are desirable to provide a reliable source of potable water.
The best combination of renewable energy and desalination technology achieves high fresh water production at low cost with efficient energy utilization. An excellent example is the integration of thermal desalination technologies with renewable thermal energy, such as solar and geothermal energy. Solar energy is the most promising energy for seawater desalination. Solar energy utilization systems such as flat plat solar collectors, evacuated tubes, and solar ponds absorb the solar energy and convert it to thermal energy that drives thermal desalination processes. The use of solar energy for desalination can be categorized into direct, where the solar energy is absorbed directly by the saline water (solar pond and solar still), or indirect where the solar energy is absorbed by a solar collector and then transferred to the saline water. Solar energy is well suited for arid regions and rural areas where the solar intensity is high [44].
Desalination of seawater or brackish water is generally accomplished using water evaporation (phase change), or by using a semi-permeable membrane to separate fresh water from concentrated saline water, or by a combination of the two as in membrane distillation. Most conventional desalination plants are large scale centralized units that typically serve urban populations. In recent years, there is considerable interest in developing decentralized desalination technologies. An environmental advantage of decentralized desalination is that the brine discharge is spread out over a large area, and thus the environmental impact is considerably less than that associated with large scale centralized desalination plants. In rural arid regions, populations are distributed over a large land surface area. For such cases, it is more economical to install and operate decentralized water production units that serve the local population in lieu of large centralized water production where water must be transported long distances. The rural arid regions typically have excellent solar resources, and thus solar driven desalination is appealing.
Solar energy, harvested in electrical or thermal form can be used to distill water. Solar thermal energy systems, such as flat plate solar collectors, evacuated tubes, concentrating solar troughs, and solar ponds absorb the solar energy and convert it to thermal energy that drive thermal desalination processes. Solar thermal energy utilization for desalination can be categorized into direct, where the solar thermal energy is collected directly by the saline water, such as in solar stills and solar ponds, or indirect where the solar thermal energy is absorbed by a solar collector and then transferred to the saline water, such as in solar powered humidification-dehumidification (HDH) and diffusion driven desalination. Technical simplicity, low maintenance requirements, and ease of operation are very important to enable successful application of distributed solar powered desalination systems.
The distillation performance can be examined in terms of characteristic parameters which are related to the method of distillations, which include:
Specific daily water production which is defined as the amount of water produced using 1 m2 of solar collector area per day. This parameter describes daily water production normalized by the solar collector area. This parameter is important for all solar powered desalination systems since solar collector area is indicative of the amount of energy that is flowing into the system and is also a proxy for cost. The solar collector cost typically accounts for about 40–45% of the capital cost of air-heated HDH systems and 20–35% of the capital cost of water-heated HDH systems.
Gained output ratio (GOR) which is defined as the ratio of the latent heat of evaporation of the distillate produced to the total heat input to the distillation process. It is a measure of how efficiently thermal energy is used in a desalination process. In the case of solar powered desalination systems, GOR is equal to the ratio of latent heat of evaporation of the distillate produced to the heat absorbed by the solar collectors.
Recovery ratio (RR) is defined as the ratio of the total fresh water produced to the saline feed water input. RR for small scale solar powered HDH desalination systems is much smaller than RR for conventional desalination processes, such as MSF, MED, VC and RO due to the low production efficiency of small scale systems.
The solar still is one of the oldest and by far the simplest water desalination method. A solar still consists of a structural element called a basin covered with a transparent material to allow the incident solar radiation to pass through to the basin saline water for thermal absorption and evaporation. Solar energy absorption, saline water evaporation, and fresh water condensation occur within a single enclosure for a solar still. Solar stills are inherently direct collection systems. Solar distillation using solar stills is considered to be a mature technology. Because it has a low maintenance requirement, it is used worldwide to produce fresh water. Typically, the basin is colored in dark or black to enhance solar flux absorption. The water is heated by the solar rays absorbed by the basin, which increases the water vapor pressure until some portion of the saline water evaporates as shown in Figure 1. The water vapor moves upward and typically condenses on the cool glass cover and run downs through a guiding channel to the collection reservoir.
Solar still [
There exist many types of solar stills, including single slope, double slope, single and double basin, inverted, tubular, spherical, double effect multi wick, and greenhouse integrated solar stills as shown in Figure 2. Solar stills can be passive or active, depending on whether water circulation is needed. The main advantages of passive solar stills are that they do not require electrical energy for pumping (passive solar collector), it is simple, and it is easy to operate. However, the main drawback of the solar still is that it typically has low water production due to the loss of latent heat of condensation through the solar still transparent cover.
Common designs of solar stills [
The gap distance between the solar still basin and the transparent cover surface has a considerable influence on its performance; the performance increases with decreasing gap distance. As a result, several design improvements have been considered, such as the development of a cascaded type solar still [1]. In this design, the basin is inclined and consists of many small cavities to store water; it is arranged in cascaded manner, as shown in Figure 3. The basin is typically made of a metallic corrugated sheet such as flat black coated aluminum.
Schematic of a cascaded solar still [
The performance of a conventional solar distillation system can be predicted by various methods [3, 4, 5, 6, 7, 8, 9, 10, 11, 12]. In general, the distillate hourly production rate per square meter of solar still (
where
Solar powered humidification-dehumidification (HDH) desalination has gained recent traction because it is viewed as a reliable desalination method for small scale decentralized applications. The humidification/dehumidification (HDH) process is a thermal desalination process that mimics the natural water purification cycle. Solar HDH systems have been investigated extensively and used widely for many decades as an alternative to common desalination systems for decentralized water production, and hence extensive knowledge exists on the design of these systems. HDH is based on water evaporation of heated saline water into an air stream and its subsequent condensation. Water vapor is carried by a circulating air stream from the saline water side, usually called evaporator or humidifier, to the condenser side where vapor is condensed as potable water as shown in Figure 4. Solar energy can be used to heat saline water via flat plat or evacuated tube solar collectors and successively directed to the evaporator. In term of solar energy utilization, the water or the circulated air is heated to run the solar HDH process. There are different operating modes of humidification-dehumidification desalination process. These operating mode types include: (1) closed air-closed water cycle, (2) closed air-open water cycle (3) open air-closed water cycle, (4) open air-open water cycle. Fresh water yields depend on the HDH design, operating mode, and operating conditions. In general, the distillation yield in HDH desalination process is calculated as
where
where
Schematic diagram of the solar HDH [
A significant advantage of the HDH process is that it typically operates in a low temperature range, which enables it to be driven by solar energy or a low-grade heat source. HDH systems are simple in design and operation; however, their low thermal energy efficiency is a significant drawback. The low thermal efficiency associated with HDH systems is typically due to the low thermodynamic availability of low grade heat. In addition, HDH systems are commonly based on natural draft to circulate the air in the system, which is associated with low heat and mass transfer coefficients compared to forced draft air flow. Film condensation over metallic tubes is usually used to condense the water vapor in the air stream and recover the latent of condensation. Due to the low rate of heat transfer, large metallic surface area is usually required which increases the system cost. Solar HDH technologies have great promise for decentralized small-scale water production applications, although additional improvements in system efficiency are needed to reduce the capital cost.
Humidification and dehumidification method for saline water desalination has been examined by many researchers. Farid et al. proposed a design for a solar energy based HDH desalination unit [29]. The performance factor of the desalination unit for different air and water flow rates have be examined by measuring water temperature. The study observed a variation in daily performance factor between 0.95 and 1.35. It was concluded that decreasing the water mass flow rate to 70 kg/h increases water temperature which increases the performance factor. Nawayseh et al. [30] carried out a simulation study for a closed cycle HDH process to optimize its operating condition. It was concluded that the performance of HDH process is significantly influenced by both water flow rate and to the surface area of humidifier and condenser. In addition, it was found that air flow rate has a small effect on the fresh water production of the unit. The maximum fresh water production for the system less than 0.7 kg/m2h and the average daily production is 3.5 kg/m2 day for about 10-h operation. Al-Hallaj et al. [31] investigated a similar process configuration to that of Nawayseh et al. [30] and noticed that fresh water production performance is not affected by air flow rate. On the other hand, when operating at low temperature (50°C), water yields improves with increasing air flow rate. In their experimental study, they reported a maximum fresh water production of 0.65 kg/h, and a total daily production of 5 L/(m2.day). Their investigation concluded that fresh water production increases significantly with increasing water mass flow rate to an optimum point. Beyond the optimum point, increasing the mass flow rate decreases fresh water production. They also suggested it is best to operate the unit with forced air circulation while operating at low temperature, and operate with natural air draft circulation the water temperatures is high.
Muller [32] analyzed a small-scale thermal seawater desalination system with a thermal storage tank to enable the system to run 24 h/d of operation. They carried out the analysis using a simulation program to optimize the performance. They proposed to use a highly efficient solar collectors to heat the water to 85°C. Dai et al. [33] have examined an open loop humidification and dehumidification system that uses a forced convection to circulate the air. A boiler is used to represent the solar collector to heat the saline water. In their system, they reported a thermal efficiency of 80% which is defined as the ratio of the minimum energy to obtain a fixed amount of water to the total heat input. Also, in the study it was reported that the performance is significantly dependent on the inlet saline water temperature, mass flow rate of the saline water and air.
Orfi et al. [34] examined the efficiency of a desalination process with a solar air heater to improve the performance. An electric heater was used to replace the solar water heater. A constant solar irradiation flux of 800 W/m2 was used, and the maximum fresh water production was 5.2 kg/m2d. The experimental results indicate that the performance of the system improves with increasing the ambient air temperature. It was also reported that increasing the cooling water flow rate increases the production to up to an optimum value.
A comprehensive technical review that compares between different thermal desalination techniques is presented by Parekh et al. [35]. The main limitation of the HDH process is that the heat and mass transfer coefficients in the process are low because HDH process typically operate based on a natural draft to drive the airflow in the system. Numerous simulations are required to understand the air and mass flow rate influence on the performance of the HDH desalination process. It is reported that further simulations with a thermal storage module and 24 h operation are recommended to improve the process of the HDH. Condensation over tubes is usually used to condense the water vapor in the air stream. Because of the condenser low efficiency, HDH process require a large surface area condenser which increases the cost of the system.
Solar diffusion driven desalination (DDD) is a thermal distillation process similar to the HDH where a solar collector is used to deliver the thermal energy. A simplified schematic diagram of the Solar DDD process is shown in Figure 5. The Solar DDD facility consists of two main components: evaporator and condenser. The evaporator and the condenser allows direct contact between air and water and they are mainly composed of a packing material. The packing material is characterized by a high surface area to volume ratio which improve the water and air contact area. A single nozzle is mounted at the top of the packing in the evaporator and the condenser to spray saline water over the packing material in the evaporator, and to spray the cooling water in condenser. A basin at the bottom of the evaporator is installed and used to collect the saline water and another one is installed at the bottom of the condenser to collect the freshwater [44].
Schematic diagram for the solar diffusion driven desalination process [
The DDD process operates on the principle of humidification and dehumidification of an air stream. The first process is called air humidification and occurs in the evaporator. Heated saline water enters the evaporator, as low as 45°C, and gets sprayed at the top of the packing via the evaporator nozzle. Low humidity air is forced via a fan at the bottom of the evaporator to circulate the air through the system. With this arrangement, the drawn air is flowing counter-currently to the falling water which increase direct heat and mass transfer between air and water. This leads to humidification of the air and increases the air temperature exiting the evaporator. The humidified air leaves the evaporator at the top as fully saturated and then enters the direct contact condenser. In the direct contact condenser, cold fresh water is sprayed on the top of packed bed. As the humidified air is flowing upward, it gets in direct contact with the sprayed cold fresh water which leads to the dehumidification of the air and reduction in its temperature. In dehumidification process, heat will be transferred from air-vapor to the cold freshwater resulting in water vapor condensation which leads to fresh water production. The fresh water is collected at the basin of the condenser and sent to a fresh water production tank or to a heat exchanger to be cooled and recycled again [44].
The performance of the solar DDD have been investigated by various research groups [36, 37, 38, 39, 40, 41, 42, 43, 44]. A theoretical model has been developed to describe the heat and mass transfer in the process and the performance has been studied for different operating conditions. A steady state theoretical model for the evaluation of heat and mass transfer in the evaporator for the DDD process is developed by Klausner et al. and Li et al. [36, 37, 38, 39], and it is given in Eqs. 4–6. The formulation is based on a two-fluid film model for a packed bed in which conservation equations for mass and energy are applied to a differential control volume. Eqs. 4–6 comprise a set of coupled ordinary differential equations that are used to solve for the humidity ratio, water temperature, and air/vapor mixture temperature distributions along the height of the evaporator,
where L and G is the water and air mass fluxes, respectively, ω is the humidity ratio
Similarly, a steady state theoretical model for the evaluation of heat and mass transfer in the condenser for the DDD process is given [36, 37, 38, 39],
where b, c and d are empirical constants that are given as a = 0.611379, b = 0.0723669, c = 2.78793 × 10−4, d = 6.76138 × 10−7, and Ta (°C) is the air temperature [36, 37, 38, 39].
A more recent formulation has been developed for transient solar DDD [40, 41, 42, 43, 44]. Alnaimat et al. developed a transient one-dimensional theoretical model for the evaluation of heat and mass transfer within direct-contact evaporators and condensers. Eqs. 11–14 comprise a set of coupled partial differential equations that are used to solve for the humidity ratio, water temperature, air/vapor mixture, and packed bed temperature distributions along the height of the evaporator.
where
The given Eqs. 11–18 can be solved numerically simultaneously to predict water, air/vapor mixture and packed bed temperatures and humidity ratio within the evaporator and the condenser. These equations represent the heat and mass transport models in evaporator and condenser and they account for the transient variations within the packed-bed due to time varying inlet air and water temperatures and humidity. Figure 6 shows the fresh water production rate for the given solar heat input where the condenser is operating with continuous cooling to maintain condenser inlet water temperature at 25°C. It is clear that as the solar heat input increases the evaporator inlet water temperature increases, which improve the water production. Figure 7 shows the increase in the total fresh water produced and the decline of the saline water volume in the storage tank with time. With its low energy consumption and low fabrication cost, solar DDD is expected to be competitive with other small scale desalination units for decentralized water production. The diffusion driven desalination process is considered promising for water desalination when driven by solar energy or waste heat.
Solar heat input and fresh water production rate of the solar DDD [
Total fresh water produced and saline water volume in storage tank of the solar DDD [
In principles, membrane distillation (MD) is a hybrid of thermal distillation and membrane processes. MD has an important feature is that it operates at a low temperature range compared to conventional thermal distillation processes and at a low pressure compared to reverse osmosis desalination. Due to this low temperature operating range, it is well suited to be heated by solar energy. The membranes used are non-wetting (hydrophobic) and typically are made from polypropylene (PP), polyvinylidene fluoride (PVDF), polyethylene (PE), or polytetrafluoroethylene (PTFE). Different membrane module configurations exist such as plate and frame, hollow fiber, tubular, and spiral wound membrane module. Hydrophobic microporous membranes act as a physical support that separates a warm saline water chamber from a cold permeate chamber [45].
In solar membrane desalination, salty water or brackish water is heated using solar energy and then directed to a warm saline chamber. The driving force in solar MD process is vapor pressure difference across the membrane. There are different methods to create a vapor pressure difference across the membrane; thus MD can be categorized in terms of pressure difference creation into the following: direct contact membrane distillation (DCMD); air gap membrane distillation (AGMD); sweeping gas membrane distillation (SGMD); and vacuum membrane distillation (VMD). Water vapor transports through membrane pores from the high vapor pressure feed side to the low vapor pressure permeate side. The most commonly MD types used for desalination are DCMD, AGMD, and VMD as shown in Figure 8. Figure 8a depicts the direct contact membrane distillation (DCMD) process. In DCMD a pressure difference is created by a temperature difference between the feed water side and permeate side. The hot feed water is in direct contact with the membrane. As the water evaporates in the feed water side, it moves through the membranes and condenses on the lower temperature permeate side. The salty liquid feed water cannot pass through the hydrophobic membrane to the permeate side. DCMD is commonly used for saline water desalination. The main disadvantage of DCMD is the heat loss by conduction from the hot side to the cold side.
Different types of membrane distillation process: (a) direct contact membrane distillation (DCMD), (b) air gap membrane distillation (AGMD), (c) sweeping gas membrane distillation (SGMD), (d) vacuum membrane distillation (VMD) process, adapted from [
In DCMD, the mass flux is typically, assumed to be proportional to the vapor pressure difference across the membrane, and is given by:
where
where
where R and hfg represent the universal gas constant and the latent heat of vaporization respectively. Eq. 20 is valid when the separation process is for pure water or very diluted solution, and the temperature difference across the membrane surfaces is less than or equal to 10°C [45].
And for more concentrated solutions, another relation developed by Schofield et al. [46] for the mass flux which is given by:
where
Here xf,m, xp,m, xm, represent the mole fraction of dissolved species at the hot membrane surface side, from the permeate membrane surface side and inside the membrane.
In the Air gap membrane distillation (AGMD) process, depicted in Figure 8b, the hot feed water is in direct contact with the membrane while the cold permeate is not in direct contact with the membrane. A stagnant air gap separates the cold water. The water evaporates in the feed water side and it moves across the membranes to condense on the lower temperature surface plate after passing the air gap. AGMD is commonly used for saline water desalination. The advantage of AGMD is that the reduction in the heat loss by from the hot side to the cold side. Figure 8c depicts the sweeping gas membrane distillation (SGMD) process. Carrier gas as flows in the permeate side to remove the vapor to a separate component to be condensed. SGMD is more typically used for removing volatile vapors and is less used in desalination. The main drawback of this process is the fact that it requires very large condenser to condense the vapor. In VMD process, vacuum is created in the permeate side via a pump. Water vapor passes through the membrane due to the pressure difference between the feed water side and the permeate side as depicted in Figure 8d. The VMD is also achieved in a condenser outside the membrane which considered an advantageous to reduce the heat lost via across the membrane [45].
The MD process poses some advantages over RO process since it does not require high pressure feed water, and it can process very high salinity brines. The MD process can tolerate complete dry out of the membrane. In comparison with other large thermal distillation processes MD is not limited to large scale applications; it is highly scalable. In addition, MD processes include the rejection of ions, macromolecules, colloids, and other non-volatiles, lower operating temperatures compared to conventional distillation, and lower operating pressures compared to other pressure driven membrane separation processes. A disadvantage of MD process is the high cost of the membranes and the membrane susceptibility to get fouled which diminishes their durability.
Solar energy collectors can be classified in terms of the measured temperature range in the collector. Collectors are classified as low temperature when the measured collector temperature is <100°C, medium temperature collector when temperature is in the range of 100–150°C, and high temperature collector when collector temperature is >150°C. Solar energy plays an important role as a source of energy for low temperature desalination systems. For low temperature collectors, HDH desalination or diffusion driven desalination is very suitable. For medium and high temperature collectors such as concentrated solar trough, conventional thermal desalination such as multi-effect desalination (MED), multistage flash distillation (MSF) and vapor compression distillation (VC) is more suitable to be integrated with these collectors. MSF, MED, and VC systems can be powered by the thermal energy captured by a concentrated solar energy to distill salty water.
The principle of using concentrated solar energy to power MSF processes is based on generating water vapor by heating seawater using concentrated solar energy. After being heated, water is introduced to a low pressure chamber, where sudden pressure drop occurs and water flashes to vapor. This process is repeated successively in a series of chambers in which the pressure is reduced at different stages. Water vapor is condensed on a heat exchanger bundle (condenser) and collected to produce freshwater. Figure 9 shows a combined concentrated solar energy system and MSF distillation process. The distillate production rate from MSF desalination process depends primarily on the brine temperature, number of stages, feed water salinity and fouling resistance of the brine heater. The plant distillate production can be increased by increasing the temperature difference between discharged hot brine and inlet seawater temperature [48]. Distillate production in solar multi stage flash desalination could be increased by using water as the heat transfer fluid in solar collectors and also by increasing the size of thermal storage tanks [49].
MSF distillation process powered by concentrated solar energy [
For MED processes integrated with concentrated solar energy, the distillation process takes place in a series of vessels collectively referred to as effects. Figure 10 shows a MED distillation process powered by concentrated solar energy. The thermic fluid is heated in the concentrated solar collector field, and thereafter is passed to the effect vessels to heat the sprayed saline water. As shown in Figure 10, a pre-heated seawater is introduced at the top of the effects, which is usually sprayed on bundle of tubes in which the thermic fluid is flowing, to create a falling film. The thermic fluid is at higher temperature than saturated temperature of the saline water. Water vapor is generated at the falling film and thereafter directed to the next effect where it releases its latent heat of condensation to the incoming saline water to produce distilled water.
MED distillation process powered by concentrated solar energy [
For solar powered vapor compression desalination, saline water is heated by a solar collector and directed to a vessel where it flashes to vapor. Figure 11 shows a VC distillation process powered by concentrated solar energy. The produced vapors are compressed using mechanical vapor compressor (MVC) or thermo vapor compressor (TVC) to raise the condensation pressure and temperature of the vapor. The vapor compression raises the steam pressure and its saturation temperature. The compressed vapor is then used to heat the remaining saline water in the vessel in the first step. Then vapor exits the vessel and thereafter enters the condenser to release its latent heat to the saline feed water as shown in Figure 11. The condensed vapor is then collected in the distilled storage tank.
Concentrated solar energy powered MED distillation process [
In mechanical vapor compression desalination, a mechanical compressor is used to compress water vapor. The compressed vapor flows inside a bundle of tubes, which leads to condensation at a relatively high temperature. A saline water is sprayed on the outside surface of the bundle of tubes to recuperate the vapor latent heat of condensation. The saline water gets evaporated due to the heated tube bundle. The water vapor is then passed to the condenser to produce a fresh water. Figure 12a shows a schematic diagram of a mechanical vapor compression distillation system coupled with MED powered by concentrated solar energy. Thermal vapor compression is usually coupled with multiple-effect distillation, which utilizes water vapor produced in each effect. Thermal vapor compression desalination process utilizes a steam jet compressor to compress the vapor. A steam jet is used to extract the low-pressure steam from the vessels by creating a vacuum and then after mixing it with high-pressure steam that is supplied to the system. The pressure of the resulting steam mixture is then raised in the diffuser to the pressure required for heating steam in the first effect. Figure 12b shows a schematic diagram of thermo vapor compression distillation coupled with MED powered by concentrated solar energy.
(a) Concentrated solar powered mechanical vapor compression unit coupled with MED, (b) concentrated solar powered thermo vapor compression unit coupled with MED [
Concentrating solar power generation (CSP) for large scale seawater desalination applications is promising as it can achieve very high capacity desalination plants, which can be a primary water source for large centralized communities. It is predicted that energy from CSP plants will become a more cost effective option for electricity generation and water desalination in several decades due to the development of the technology and to more implementation of solar renewable energy projects. Additional research is required to demonstrate long-term reliability of solar powered thermal desalination technologies and to improve the thermal efficiency.
Thermal desalination by salinity-gradient solar ponds is a promising desalination technology as it is less costly compared to other solar driven desalination options. Solar ponds provide the least expensive option for heat storage with solar powered desalination systems, which is an important economic aspect for desalination processes. Ideally, thermal energy obtained from a salinity-gradient solar pond can be used to power conventional thermal desalination technologies such as MSF, MED, and VC distillation. Although, this technology is still in the development stage, as demonstration plants have experienced operational difficulties. A lab-scale experimental investigation of an integrated solar pond of 70°C with 10 flash desalination units operating at 0.9 bar has been confirmed to produce approximately 15 m3/d of distilled water [50]. Solar pond technology integrated with MSF desalination plant has potential to be more cost effective than any other solar powered desalination technology [51]. At present, additional research is required to demonstrate long-term reliability of solar pond powered thermal desalination technologies.
Fresh water shortage and demand are expected to increase in the coming few decades. The development and utilization of alternative water resources such as seawater desalination are becoming inevitable. On the other hand, desalination is very energy intensive process and has negative impact on the environment. The discharge of concentrated brine, hamper the life of marine eco systems. Waste discharge from desalination processes is considered to be a significant challenge that is becoming increasingly important. High energy consumption is considered the most influencing factor that inhibits growth of seawater desalination. Currently, most desalination processes are driven by energy obtained from fossil fuel. With such dependence on fossil fuel based energy sources, the increase in seawater desalination results in gas emissions that pollute the environment. Solar energy based desalination process is considered to be a promising method to alleviate the environmental impact of water desalination and also provide a sustainable source of potable water. This approach significantly mitigates the dependence on fossil fuel.
Large amount of concentrated brine discharge from saline water desalination plants is considered to be unpleasant waste. Marine life is strongly affected by the discharge of the concentrated brine. Concentrated brine is not only salt concentrated, but also contains chemicals such as anti-scaling agents from pre- and post-treatment. This results in high salt concentration in the area near brine discharge point. Brine disposal is a problem that challenges all desalination technologies. Brine discharged from membrane based desalination such as reversed osmosis is more concentrated than the brine discharged from thermal distillation plants. However, brine discharged from thermal distillation plants exits at a relatively high temperature compared with membrane based distillation. This influences the marine life such that only some plants or marine animal can withstand the high temperature near the outlet of thermal distillation plants. Marine life is also influenced by the intake of the seawater for the desalination plant. When a large amount of seawater is drawn from the sea, marine organisms and algae are sucked into the intake which cause a disturbance to the eco-system.
Many methods are currently used for brine disposal from desalination plants. Brine can be discharged to sea or river, discharged to solar ponds, or injected to deep saline aquifers. The discharge of brine to the sea or ocean is the least expensive method compared to other method. When brine is discharged to the sea, it tends to sink at the bottom of the sea because it has higher density than the seawater. A typical standard used in brine discharge is to diluted the brine with seawater to reduce its salinity before being discharged to sea. Furthermore, operating at lower recovery rates reduces the salinity of the brine. Brine is discharged at high depth of seawater which typically have a strong current. This reduces the detrimental effects of brine on the marine life. Brine discharges to a solar pond or the injection to a deep saline aquifer is more expensive method than sea discharge. These solar ponds and saline aquifers are typically located away from the desalination plant which require a long pipeline for transportation. This method has drawbacks because it may increase the salt in the soil and also increases the salinity of the ground water if linear is not used under the solar pond. The utilization of solar pond for brine disposal require a very large surface area, and it carries the risk of contaminating ground water.
Potable water is considered to be a scarce commodity especially in arid and remote regions. While conventional desalination technologies offer an excellent solution to meet water demand, they are considered to be energy intensive processes. Conventional desalination technologies are well suited for large scale applications but they are not-efficient and not suited for small scale water demand. Conventional desalination processes are expensive to operate and require continues maintenance which prevent their utilization in remote areas.
With the ever increasing energy cost and unavailability in the future, there is a need for cost effective desalination system that is well suited for small scale application. Solar desalination is expected to be a promising method to alleviate water shortage. The interests in solar desalination technologies have increased significantly in the last few decades. In order to maximize the utilization of solar desalination, the desalination efficacy needed to improved further and its cost must be reduced. Solar energy powered by desalination process can have a positive impact on reducing gas emissions and can considered to be a reliable source for potable water. Solar desalination processes can provide fresh water for remote areas in a sustainable way. Currently, more research is needed for improving solar based desalination and the treatment of waste water using these units.
The authors acknowledge the funding for this work from the National Water Center-UAE University through the research grant (G00002607).
Computing systems face serious threats from attackers on a day-to-day basis. Devices within a network could be targeted or used as launching pads to spawn malware and other attacks to critical systems and infrastructure. A system is as secure as its weakest link [1]. Therefore, software engineers must be cognizant of the cyber-related challenges that plague modern computer systems and engineer software with credible defenses. One of the first defenses against potential threats to computer systems is careful analysis of program code during development and taking necessary steps to minimize/eliminate vulnerabilities.
Program analysis falls into three main categories: static application security testing (SAST) or static analysis, dynamic application security testing (DAST) or dynamic analysis, and interactive application security testing (IAST). Static analysis is a “technique in which code listings, test results, or other documentation are… examined… to identify errors, violations of development standards, or other problems” [2]. Dynamic analysis is the “process of evaluating a system or component based on its behavior during execution” [2]. IAST involves instrumenting a program with sensors to monitor program code in memory during execution in order to find specific events that could cause vulnerabilities [3]. Two or more of these approaches may be combined to create hybrid tools and techniques for analyzing program code. These hybrid systems are designed to achieve more comprehensive coverage and to decrease the false positives and false negatives of existing approaches.
While researchers are interested in designing sound and complete code analysis tools, achieving soundness and completeness remains an intractable problem [4, 5, 6]. Consequently, a lot of research in code analysis is centered on improving the alerts of static analysis tools [4, 7]. More recently, several researchers have proposed models based on deep learning and other machine learning approaches to scan and fix vulnerabilities in program code [8]. Many of these tools are still at an infant stage and have not yet made it to market. Based on current trends, we believe that the future of code analysis will involve more refined tools based on artificial intelligence (AI), machine learning, and other hybrid approaches.
In this work, we propose a hybrid code analysis framework that employs the use of voice assistants (VAs) to allow a programmer to conversationally scan for and fix potential vulnerabilities in program code. The use of voice assistants have grown significantly in recent years. This work focuses primarily on the Google Assistant1 as it is the most popular [9] among other virtual assistants.
The rest of the chapter is organized as follows: first, we discuss related work in the area of hybrid analysis in Section 2 followed by a discussion on challenges affecting adoption of existing approaches in Section 3. In Section 4, we theorize about the future of secure coding and propose a new code analysis approach in Section 5. We then use a case study to evaluate our proposed approach in Section 6 and present our conclusion in Section 7.
This work falls in the area of hybrid analysis. In this section, we summarize works in this area.
In 2006, Aggarwal and Jalote [10] combined static and dynamic analysis to detect buffer overflow in C programs. Both static and dynamic approaches have advantages and disadvantages. One of the disadvantages of dynamic analysis is the requirement of a large number of test cases, which present an overhead. Some dynamic analysis tools use a feature know as generate-and-patch or generate-and-validate in an effort to auto-fix vulnerabilities. In 2015, the authors of [11] analyzed reported patches for several DAST tools including GenProg, RSRepair, and AE, and found that the overwhelming majority of reported patches did not produce correct outputs. The authors attributed the poor performance of these tools to weak proxies (bad acceptance tests), poor search spaces that do not contain correct patches, and random genetic search that does not have a smooth gradient for the genetic search to traverse to find a solution [11].
In 2012, [12] proposed a hybrid approach that uses source code program slicing to reduce the size of C programs while performing analysis and test generation. The authors used a minimal slicing-induced cover and alarm dependencies to diminish the costly calls of dynamic analysis [13].
In 2014, [14] implemented a hybrid architecture as the JSA analysis tool, which is integrated into the IBM AppScan Standard Edition product. The authors augmented static analysis with (semi-)concrete information by applying partial evaluation to JavaScript functions according to dynamic data recorded by the Web crawler. The dynamic component rewrites the program per the enclosing HTML environment, and the static component then explores all possible behaviors of the partially evaluated program.
In 2015, [15] applied a program slicing technique, similar to [12], to create a tool called
Also, in 2015, [16] proposed a hybrid malicious code detection scheme that was designed using an AutoEncoder and Deep Belief Networks (DBN). The AutoEncoder deep learning method was used to reduce the dimensionality of data. The DBN was composed of a multilayer Restricted Boltzmann Machines (RBM) and a layer of BP neural network. The model was tested on the KDDCUP’99 dataset but not on actual program code.
In 2019, [17] proposed SapFix, a static and dynamic analysis tool which combines a mutation-based technique, augmented by patterns inferred from previous human fixes, with a reversion-as-last resort strategy for fixing high-firing crashes. This tool is built upon Infer [18] and a localization infrastructure that aids developers in reviewing and fixing errors rapidly. Currently, SapFix is targeted at null pointer exception (NPE) crashes, but has achieved much success at Facebook [18].
In a dissertation produced in 2021, [19] proposed a code generation technique for Synchronous Control Asynchronous Dataflow (SCAD) processors based on a hybrid control-flow dataflow execution paradigm. The model is inspired by classical queue machines that completely eliminates the use of registers. The author uses satisfiability (SAT) solvers to aid in the code generation process [19].
To the best of our knowledge, our work is the first to employ modern virtual assistants to conversationally scan and fix vulnerabilities in program code. In [20], the authors established a voice user interface (VUI) for controlling laboratory devices and reading out specific device data. The results of their experiments produced benchmarks of established infrastructure and showed a high mean accuracy (95% ± 3.62) of speech command recognition and reveals high potential for future applications of a VUI within laboratories. In like manner, we propose the integration of personal assistants with code analysis systems to encourage programmers to produce more secure code.
Several code analysis and vulnerability detection surveys have categorized tools in the literature [7, 21, 22, 23]. While surveys are essential in advancing research, many of them do not focus on tools found on websites. It must be noted that the average programmer does not look for tools in research papers. To that end, we conducted a Google search and found several popular websites that present various tools that programmers may use to scan their code for vulnerabilities. Figure 1 shows a bar chart highlighting the number of tools found on these websites. As shown in the figure, GitHub and Wikipedia list the most tools and are often the top websites returned in search results due to their popularity. We further grouped the most popular static analysis tools found on these websites by language as shown in Figure 2. As can be seen, this non-exhaustive list could overwhelm many programmers in determining the best tools for their projects.
The large number of code analysis tools found on popular websites.
Static analysis tools categorized by programming language.
In addition, the ability to combine code analysis approaches coupled with the number of programming languages that exist result in a large number of tools from which coders can choose to analyze their code. This makes it onerous for a programmer or organization to decide on a particular code analysis tool. Further, tools often require special configuration, which may take time to fine tune for best results. Many tools also suffer from usability issues, lengthy vulnerability reports, and false positives, making programmers avoid them altogether [24, 25, 26].
Another challenge affecting adoption of code analysis tools is monopolization of the market by certain companies. For-profit companies usually have the resources to improve tools by adding more state-of-the-art approaches such as cloud-based scanning, IAST support, and report generation. While these developments often advance the field of code analysis, they sometimes discourage small organizations and individuals from investing the effort and resources required to procure state-of-the-art tools. Thus, a streamlined, modern, cost-effective approach is needed to help encourage programmers to produce more secure code.
We believe that the future of code analysis lies in hybrid systems that combine several approaches to achieve useful analyses and actionable reports that will encourage programmers to produce more secure software. Based on current trends in machine learning, especially in deep learning, and natural language processing (NLP) (e.g., virtual assistants), it is safe to say that future code analysis will rely heavily on AI, ontologies, NLP, and machine learning. For example, when discussing the trends and challenges of machine learning, the authors in [27] “envision a fruitful marriage between classic logical approaches (ontologies) with statistical approaches which may lead to context-adaptive systems (stochastic ontologies) that might work similar to the human brain” [27].
Our projection is that code analysis frameworks will facilitate plug-and-play (PnP) models. Figure 3 illustrates a generalized PnP model that uses virtual assistants to manage the analysis process. Using this plug-and-play model, programmers may select the code analyzer that best fits their project based on factors such as project type, project size, speed, efficiency, security, etc. This is similar to the current landscape with virtual assistants and recommender systems. Currently, a person may use a virtual assistant like the Google Assistant to navigate a list of restaurants based on price, location, menu, reviews, etc. The virtual assistant may update the users preferences based on selections over time. This concept can also apply in code analysis where the chosen scanner used in the PnP model could be based on past scans or popularity.
A suggested model showing code analysis as part of a plug-and-play paradigm that facilitates the inclusion of any analysis tool and the use of a virtual assistant to manage the analysis process.
The code analyzer featured in the model in Figure 3 may use any combination of approaches including SAST, DAST, and IAST, which could be cloud-based or localized to the user’s computer. These approaches could be backed by any algorithm that results in significant performance gains. It has been shown in the literature that deep learning and other ensemble methods perform very well in a large number of contexts including infected host detection [28], intrusion detection systems [29, 30], and malware analysis [31, 32], to name a few. Interestingly, many of these approaches can be used to create or improve code analyzers in an effort to help programmers produce more secure software.
Another feature of code analyzers of the future is a deep reliance on data analytics, visualizations and state-of-the-art interfaces. As discussed in the literature [8, 33], the interface of a code analyzer can have a negative or positive impact on its use and adoption. Therefore, for a system to be adopted in any project or organization, users must be able to gain insights from the way it presents its results. Figure 4 shows a mockup of what we believe the interface of future code analyzers will look like. These interfaces will be in the form of dashboards instead of the customary lengthy bug reports displayed in a console.
A mockup of an analytical dashboard for code analysis on a curved display.
The proposed approach is to integrate a virtual assistant with a code analysis framework that allows users to scan, analyze, refactor and fix their code of inconsistencies and vulnerabilities. In this section, we describe the proposed approach using the system architecture.
The system architecture for MyCodeAnalyzer is shown in Figure 5. The system consists of three main components: the virtual assistant, the webhook API and the code scanning environment. The code scanning environment consists of a web app, an integrated development environment (IDE) plugin, code analyzers and refactoring tools. Google Assistant was chosen as the virtual assistant because of its popularity and easy-to-use App Engine and Dialogflow frameworks. The process flow is as follows: a user invokes a Google Assistant app (aka, Google Actions app) using a set of phrases understood by the system. This app is specially designed to understand trigger phrases associated with code analysis. Trigger phrases are training phrases that are entered into Dialogflow using an intent management system. Dialogflow is a natural language understanding platform that allows users to design and integrate a conversational user interface into a mobile app, web application, device, bot, interactive voice response system, etc. [34]. Figure 6 captures the current intents incorporated into MyCodeAnalyzer. Each intent is backed by machine learning and NLP technology that uses named entity recognition (NER) and other approaches to extract entities from speech, determine context, and carry out tasks.
MyCodeAnalyzer system architecture.
Current Dialogflow intents used by MyCodeAnalyzer.
The intents in MyCodeAnalyzer are organized into 6 main categories:
Once invoked, the Google Assistant app communicates with the Google Conversation API to determine the user’s intent. After intent has been determined, the Google Actions app then uses webhooks to communicate with a web service running on the user’s computer. Using a tunneling service, the web service interacts with the user’s IDE by way of a plugin. This plugin invokes a code analyzer or refactoring tool, takes actions based on the user’s request, and places a message in a message queue. The web service then reads the queue and returns the message to the Google Assistant app, which then reads the message back to the user. The webhooks were set up in Dialogflow and run as servlets on Google App Engine. A servlet accepts valid Dialogflow POST requests and responds with data that is processed by the Google Assistant app and returned as output messages to the user. Figure 7 further shows the internals of the system during a conversation between the user and the assistant. While only the static analysis portion of the system is demonstrated in this work, the system is modular enough for dynamic and hybrid analysis tools to be incorporated using the PnP approach discussed in Section 4. This approach provides a more complete code analysis depending on the user’s preferences.
Internals of MyCodeAnalyzer showing the flow of information throughout the system.
Two types of code-related information are accessed on the user’s computer: code within the IDE and code from a Git repository (e.g., GitHub) currently opened in a web browser. The first type of information is important because it helps us to scan code being actively developed, while the second type is used in the case where the user would like to ensure that a repository is safe before forking it. MyCodeAnalyzer can detect GitHub pages that are open in a browser. On systems running MacOS, Applescript is used to communicate with the web browser. Other approaches will be employed in the future to reproduce this functionality on machines running other operating systems.
In order to access the user’s computer to scan the code being worked on in the IDE or referenced in the browser, a methodology must be established to access this information in a minimally invasive manner. To do so, we created a plugin for a given IDE. Currently, we have plugins for IntelliJ IDEA and Eclipse. The plugin becomes a part of the IDE, monitors the code being developed, and updates a message queue (data file) with information about the code files and projects manipulated by the programmer. Also, special system calls are used to access any browser tabs that point to GitHub projects. A local web app in the form of a Spring MVC REST API [35] runs on the user’ s computer. The job of the local web app is to communicate with MyCodeAnalyzer by way of a tunnel in order to scan local code or GitHub projects displayed in the user’ s web browser.
Listing 1 shows the Applescript code that is used to check for gui-based applications that are currently open on the user’ s computer. Following this is a snapshot of the corresponding output, which includes the Intellij IDEA IDE in the list. This Applescript code is added to the REST app where it is run on localhost and invoked by MyCodeAnalyzer to determine if the user is actively using an IDE. To further contextualize the process of determining which code the user would like to scan, it is also of interest to find out the
Listing 1. Applescript code used to list all gui-based applications that are currently running on the user’ s computer.
The following is a sample output generated using the code in Listing 1:\t
Since most IDEs are standalone applications, we believe the best way to have access to the user’ s code in a minimally invasive manner is to be an “insider” (That is, to use a plugin that becomes part of the IDE). Consequently, the goal of the plugins was to monitor the code being developed by taking note of the coding project and the coding files being manipulated by the user. To accomplish this, listeners were added to the IDE to detect when the text editor portion of the IDE is active, when tabs are activated or switched, and when code files are edited. The message queue is updated with the following pieces of information when the aforementioned actions are performed:
Listing 2. Applescript code used to determine the most active application on a computer.
Like IDEs, web browsers provide little to no way for outside tools to access their core areas. However, the Applescript-based techniques used previously for accessing the System Events utility can be used to access the tabs that are currently open in the web browser on the user’ s device. Listing 3 is used to retrieve tabs currently open in Google Chrome. This script can be modified to get tabs in other browsers such as FireFox or Safari. MyCodeAnalyzer then checks if any of the URLs point to valid public GitHub accounts, which are then searched for coding projects if the user requests that a scan of a Git project be performed.
Listing 3. Applescript code used to retrieve tabs currently open in Google Chrome.
In this section, we present a case study that demonstrates an implementation of our proposed methodology. The main goal of this case study is to demonstrate the applicability of integrating a virtual assistant into a code analysis framework to allow the user to conversationally scan their code for vulnerabilities. The system is currently in a prototypical stage. Here we perform a scan of a coding project using the Google Assistant app via an Apple iPhone.
The following was done based on the proposed approach discussed in Section 5:
Create a Google Assistant app
A Google Assistant app was created based on the intents depicted in Figure 7. Dialogflow, Google App Engine, and Google Actions Console are key components in the design of the app. Once designed, the app was tested using the Google Actions API Simulator as well as released in alpha mode and tested on a smart phone running the Google Assistant.
Create a local web app to interface with the Google Assistant app and the coding environment
The local web app was created using Spring Boot [35] and was launched on the computer via Apache Tomcat [36].
Create an IDE plugin for IntelliJ IDEA
Our IntelliJ IDEA plugin was created and installed in IntelliJ version 2020.3.2. The plugin was installed using the IntelliJ plugin installer, which installs a local plugin from a JAR (Java ARchive) file.
Choose and integrate a code analyzer
PMD [37] static code analyzer (version 6.31.0) was chosen for this study. PMD uses a rule-based system to find common programming flaws in code written in 8 programming languages, offering the most support for Java and Apex. The rules used by PMD are divided into categories such as best practices, error prone, and security. For this case study, a set of rules was selected from the error prone and security categories.
Chose a vulnerable project
The OWASP WebGoat [38] project was used to evaluate the system. WebGoat is an insecure application that allows researchers and developers to test vulnerabilities commonly found in Java-based applications that use common and popular open source components [38].
Test the system and report results
To integrate the Google Actions app with the local web app, Ngrok [39] was chosen as the tunneling tool. Ngrok is a tool that exposes local servers behind NATs and firewalls to the public Internet over secure tunnels [39].
In this section, we capture a conversation between the Google Assistant app during the analysis of the WebGoat Project, present the report generated by the assistant, and discuss the results. It must be noted that the errors found by the Assistant during the code analysis are the same as those that would be produced by the standalone PMD project.
At this early stage of the project, the main benefit of the system is the ability to use a virtual assistant to perform code analysis while multitasking, thus improving productivity. After the system is setup, the programmer can configure and engage with the VA by voice without having to manually configure the code analyzer or browse and try to understand lengthy bug reports. The assistant can be used to perform actions based on the severity of the vulnerabilities found in the project. In the current version of MyCodeAnalyzer, Google Assistant can email the user a well-formatted report or read out the most important action items after analyzing the code. Figure 8 captures a conversation between a human tester and the Google Assistant. Figure 9 shows a formatted vulnerability report generated by the assistant and emailed to the user after scanning the WebGoat project. The WebGoat project has more severe vulnerabilities, but only those in the figure were captured by PMD based on the rulesets used by the analyzer. As can be seen from the report, MyCodeAnalyzer was able to process the lengthy XML reported returned by PMD into a more easily understood report that captures only pertinent information. These results demonstrate the applicability of using a framework backed by virtual assistants to scan code for vulnerabilities and generate meaningful reports.
A conversation between MyCodeAnalyzer and a human tester while scanning the OWASP WebGoat project.
The report generated by MyCodeAnalyzer and emailed to the user after scanning the OWASP WebGoat project.
It is important to outline some challenges with the use of VAs for code analysis and mitigation of vulnerabilities. The main challenge with this new approach to code analysis is adoption. A recent study involving a small sample of participants shows that currently the primary use of VAs are for music procurement (40% of users), for information (17%), and automation (9%) [40]. Since this is a new avenue of research, there may be initial challenges with adoption in the code analysis arena. However, we believe that as the market grows and coders get exposed to this technology, the adoption rates will increase. Researchers predict a growing use for digital voice assistants over the next few years [41, 42].
Another challenge with using the PnP model discussed in this research is handling the differences between output reports from different code analyzers. To mitigate this issue, the code analysis community may require standardization of vulnerability reports in popular formats such as XML, JSON, and HTML. Currently, most tools include information such as files, classes, and line numbers where errors are found. While the output formats may be different, NLP techniques such as NER can also be used to mine these reports for key pieces of information to achieve a standard format that can be handled by the virtual assistant and the proposed analysis framework.
Getting programmers to write secure code remains a challenge. Security is often sacrificed in an effort to add a feature to a software product or to meet a deadline. When security is sacrificed for other gains, the end result is a product riddled with bugs or vulnerabilities. Steps must be taken to encourage programmers to produce more secure software. In this research, we discussed the limitations of existing code analysis approaches and propose a framework that allows programmers to use virtual assistants to conversationally scan and fix potential vulnerabilities in their code. Virtual assistants are becoming popular in everyday activities such as procuring and listening to music, finding places of interest, managing a smart home, shopping, etc. We posit that as they become more mainstream, they can be used to manage code analysis while keeping programmers productive. We implement our proposed methodology using the Google Assistant and demonstrate its utility in an effort to find new, creative ways to help programmers produce more secure software. Future work will involve extending the model to use any applicable code analyzer based on a plug-and-play paradigm, adding data analytics and visualizations to help programmers draw insights from their code, implementing the refactoring and auto-fixing modules, and conducting a user study to evaluate the framework.
DAST | Dynamic application security testing |
IAST | Interactive application security testing |
NLP | Natural language processing |
PnP | Plug-and-play |
SAST | Static application security testing |
SCAD | Synchronous control asynchronous dataflow |
If you are associated with any of the institutions in our list below, you can apply to receive OA publication funds by following the instructions provided in the links.
",metaTitle:"List of Institutions by Country",metaDescription:"If you are associated with any of the institutions in our list below, you can apply to receive OA publication funds by following the instructions provided in the links. However, if your research is financed through any of the below-mentioned funders, please consult their Open Access policies or grant ‘terms and conditions’ to explore ways to cover your publication costs (also accessible by clicking on the link in their title).",metaKeywords:null,canonicalURL:"open-access-funding-institutions-list",contentRaw:'[{"type":"htmlEditorComponent","content":"Book Chapters and Monographs
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\\n\\nMonographs Only
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\\n\\n\\n\\nCorresponding authors will receive a 25% discount on their Open Access Publication Fees (OAPF) for Open Access book chapters. A 20% discount for publishing a long-form monographs, 25% for compacts and 23% for short-form monographs.
\\n\\nCSIC affiliated authors can also take advantage of a central Open Access fund (amounting to 10,000 EUR) to cover up to 50% of the rest of the OAPF until it expires. Effective for chapters accepted from January 1, 2020.
\\n\\nCorresponding authors will receive a 25% discount on their Open Access Publication Fees (OAPF) for Open Access book chapters. A 20% discount for publishing a long-form monographs, 25% for compacts and 23% for short-form monographs.
\\n\\nCorresponding authors will receive a 25% discount on their Open Access Publication Fees (OAPF) for Open Access book chapters. A 20% discount for publishing a long-form monographs, 25% for compacts and 23% for short-form monographs.
\\n\\n\\n\\nCorresponding authors will receive a 25% discount on their Open Access Publication Fees (OAPF) for Open Access book chapters. A 20% discount for publishing a long-form monographs, 25% for compacts and 23% for short-form monographs.
\\n\\nBook Chapters and Monographs
\\n\\nBook Chapters and Monographs
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\\n\\nBook Chapters and Monographs
\\n\\nThe Claremont Colleges are pledging funds via the Knowledge Unlatched program to ensure academics can publish Open Access content more easily.
\\n\\nCorresponding authors will receive a 15% discount on their Open Access Publication Fees (OAPF) for Open Access book chapters or monograph publications. To use the discount you will need to verify your institutional email address. These discounts are valid from 2020 to 2022.
\\n\\nThe University of Massachusetts, Amherst is pledging funds via the Knowledge Unlatched program to ensure academics can publish Open Access content more easily.
\\n\\nCorresponding authors will receive a 10% discount on their Open Access Publication Fees (OAPF) for Open Access book chapters or monograph publications. To use the discount you will need to verify your institutional email address. These discounts are valid from 2020 to 2022.
\\n\\nThe University of Surrey is pledging funds via the Knowledge Unlatched program to ensure academics can publish Open Access content more easily.
\\n\\nCorresponding authors will receive a 10% discount on their Open Access Publication Fees (OAPF) for Open Access book chapters or monograph publications. To use the discount you will need to verify your institutional email address. These discounts are valid from 2020 to 2022.
\\n\\nMonographs Only
\\n\\n\\n\\nImportant: You must be a member or grantee of the above listed institutions in order to apply for their Open Access publication funds.
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\n\nMonographs Only
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\n\nBook Chapters and Monographs
\n\n\n\nBook Chapters and Monographs
\n\n\n\nCorresponding authors will receive a 25% discount on their Open Access Publication Fees (OAPF) for Open Access book chapters. A 20% discount for publishing a long-form monographs, 25% for compacts and 23% for short-form monographs.
\n\nCSIC affiliated authors can also take advantage of a central Open Access fund (amounting to 10,000 EUR) to cover up to 50% of the rest of the OAPF until it expires. Effective for chapters accepted from January 1, 2020.
\n\nCorresponding authors will receive a 25% discount on their Open Access Publication Fees (OAPF) for Open Access book chapters. A 20% discount for publishing a long-form monographs, 25% for compacts and 23% for short-form monographs.
\n\nCorresponding authors will receive a 25% discount on their Open Access Publication Fees (OAPF) for Open Access book chapters. A 20% discount for publishing a long-form monographs, 25% for compacts and 23% for short-form monographs.
\n\n\n\nCorresponding authors will receive a 25% discount on their Open Access Publication Fees (OAPF) for Open Access book chapters. A 20% discount for publishing a long-form monographs, 25% for compacts and 23% for short-form monographs.
\n\nBook Chapters and Monographs
\n\nBook Chapters and Monographs
\n\nBook Chapters and Monographs
\n\n\n\nBook Chapters and Monographs
\n\nThe Claremont Colleges are pledging funds via the Knowledge Unlatched program to ensure academics can publish Open Access content more easily.
\n\nCorresponding authors will receive a 15% discount on their Open Access Publication Fees (OAPF) for Open Access book chapters or monograph publications. To use the discount you will need to verify your institutional email address. These discounts are valid from 2020 to 2022.
\n\nThe University of Massachusetts, Amherst is pledging funds via the Knowledge Unlatched program to ensure academics can publish Open Access content more easily.
\n\nCorresponding authors will receive a 10% discount on their Open Access Publication Fees (OAPF) for Open Access book chapters or monograph publications. To use the discount you will need to verify your institutional email address. These discounts are valid from 2020 to 2022.
\n\nThe University of Surrey is pledging funds via the Knowledge Unlatched program to ensure academics can publish Open Access content more easily.
\n\nCorresponding authors will receive a 10% discount on their Open Access Publication Fees (OAPF) for Open Access book chapters or monograph publications. To use the discount you will need to verify your institutional email address. These discounts are valid from 2020 to 2022.
\n\nMonographs Only
\n\n\n\nImportant: You must be a member or grantee of the above listed institutions in order to apply for their Open Access publication funds.
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A viral disease can be defined as an infectious disease that has recently appeared within a population or exists in nature with the rapid expansion of incident or geographic range. 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The combination of electronics and computer science with biology and medicine has improved patient diagnosis, reduced rehabilitation time, and helped to facilitate a better quality of life. Nowadays, all medical imaging devices, medical instruments, or new laboratory techniques result from the cooperation of specialists in various fields. The series of Biomedical Engineering books covers such areas of knowledge as chemistry, physics, electronics, medicine, and biology. 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The applications of this research cover many related fields, such as biotechnology and medicine, where, for example, Bioinformatics contributes to faster drug design, DNA analysis in forensics, and DNA sequence analysis in the field of personalized medicine. Personalized medicine is a type of medical care in which treatment is customized individually for each patient. Personalized medicine enables more effective therapy, reduces the costs of therapy and clinical trials, and also minimizes the risk of side effects. Nevertheless, advances in personalized medicine would not have been possible without bioinformatics, which can analyze the human genome and other vast amounts of biomedical data, especially in genetics. The rapid growth of information technology enabled the development of new tools to decode human genomes, large-scale studies of genetic variations and medical informatics. 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Recently, bioinspired systems have been successfully employing biomechanics to develop and improve assistive technology and rehabilitation devices. The research topic "Bioinspired Technology and Biomechanics" welcomes studies reporting recent advances in bioinspired technologies that contribute to individuals\' health, inclusion, and rehabilitation. 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We encourage the submission of manuscripts that provide novel and mechanistic insights that report significant advances in the fields. Topics can include but are not limited to: Biotechnology such as biotechnological products and process engineering; Biotechnologically relevant enzymes and proteins; Bioenergy and biofuels; Applied genetics and molecular biotechnology; Genomics, transcriptomics, proteomics; Applied microbial and cell physiology; Environmental biotechnology; Methods and protocols. Moreover, topics in biosensor technology, like sensors that incorporate enzymes, antibodies, nucleic acids, whole cells, tissues and organelles, and other biological or biologically inspired components will be considered, and topics exploring transducers, including those based on electrochemical and optical piezoelectric, thermal, magnetic, and micromechanical elements. Chapters exploring biomaterial approaches such as polymer synthesis and characterization, drug and gene vector design, biocompatibility, immunology and toxicology, and self-assembly at the nanoscale, are welcome. Finally, the tissue engineering subcategory will support topics such as the fundamentals of stem cells and progenitor cells and their proliferation, differentiation, bioreactors for three-dimensional culture and studies of phenotypic changes, stem and progenitor cells, both short and long term, ex vivo and in vivo implantation both in preclinical models and also in clinical trials.",annualVolume:11405,isOpenForSubmission:!0,coverUrl:"https://cdn.intechopen.com/series_topics/covers/9.jpg",editor:{id:"126286",title:"Dr.",name:"Luis",middleName:"Jesús",surname:"Villarreal-Gómez",fullName:"Luis Villarreal-Gómez",profilePictureURL:"https://mts.intechopen.com/storage/users/126286/images/system/126286.jpg",institutionString:null,institution:{name:"Autonomous University of Baja California",institutionURL:null,country:{name:"Mexico"}}},editorTwo:null,editorThree:null,editorialBoard:[{id:"35539",title:"Dr.",name:"Cecilia",middleName:null,surname:"Cristea",fullName:"Cecilia Cristea",profilePictureURL:"https://s3.us-east-1.amazonaws.com/intech-files/0030O00002aYQ65QAG/Profile_Picture_1621007741527",institutionString:null,institution:{name:"Iuliu Hațieganu University of Medicine and Pharmacy",institutionURL:null,country:{name:"Romania"}}},{id:"40735",title:"Dr.",name:"Gil",middleName:"Alberto Batista",surname:"Gonçalves",fullName:"Gil Gonçalves",profilePictureURL:"https://s3.us-east-1.amazonaws.com/intech-files/0030O00002aYRLGQA4/Profile_Picture_1628492612759",institutionString:null,institution:{name:"University of Aveiro",institutionURL:null,country:{name:"Portugal"}}},{id:"211725",title:"Associate Prof.",name:"Johann F.",middleName:null,surname:"Osma",fullName:"Johann F. 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