Chapters authored
An Intrusion Detection Technique Based on Discrete Binary Communication Channels
Part of the book: Intrusion Detection Systems
A Survey on IoT Fog Resource Monetization and Deployment Models
There has been an immense growth in the number of applications of devices using the Internet of Things (IoT). Fog nodes (FN) are used between IoT devices and cloud computing in fog computing (FC) architecture. Indeed, an IoT application can be fully serviced by local fog servers without propagating IoT data into the cloud core network. FC extends the cloud-computing paradigm to the network edge. This paper surveys fog resources monetization and the wide use of IoT devices in making FC a paramount technology necessary to achieve real-time computation of IoT devices. We looked into the monetization architectures applied by various literature. We found that the decentralization fog monetization architecture stands out since it solves some issues posed by centralized fog monetization architecture, such as QoS and additional fee costs by third parties payment gateway.
Part of the book: Internet of Things
Discrete Wavelet Transform Application to Three-Phase Power System Short Circuit Fault Detection
In power system distribution, the transmission line is the bottleneck between power generation and consumers. Therefore, any fault or failure in the transmission line is critical and must be detected in a very short time. Meanwhile, as Discrete Wavelet Transform has special characteristics, it can be implemented to analyze and detect short circuit faults for the three-phase power system transmission line and identify the types based on phase-to-phase and phase-to-ground faults analysis. In this work, MATLAB Simulink was used to generate faults using a power distribution system simulator. The three-phase currents were analyzed using the Discrete Wavelet transform algorithm by decomposing the three-phase and ground currents and obtaining the detailed coefficients. As a result, the maximum value of the detailed coefficients is used to distinguish between different types of faults. Simulation results of the proposed method have shown promising results in detecting short circuit faults and identifying types of faults effectively.
Part of the book: Wavelet Theory and Modern Applications