L HADJ YOUSSEF WAJIH, received a Ph.D. degree in Electronics from the University of Tunis El-Manar, in 2012, and the HDR degree in electronics from the University of Tunis El-Manar, in 2023. He is currently Assistant Professor at the National Engineering School with the University of Monastir, Tunisia. His research interests include Information Security, embedded systems, IoT, robotics, computer vision, machine learning and wireless communications.
This book chapter highlights the embedded system security by designing a secure smart card IP. Indeed, the smart card is recognized as a privileged means of both storing confidential information and performing secure transactions. Its main role comes from the security it provides inside the system it is a part of. The specification and development of the elaborate smart card architecture are very delicate steps that require the pooling of strong competences in computer security, electronics, and also cryptography. The developed secure smart card IP model is based on the Gaisler LEON2 processor. To ensure a maximum level of security and optimal performance, a hardware integration of cryptographic mechanisms through instruction extensions was carried out. The integrated mechanisms allow for ensuring confidentiality, hashing, random number generation, and digital signature. The proposed smart card IP was implemented on a reconfigurable FPGA platform, and then on ASIC using 40 nm CMOS technology. A surface area of 1.08 mm2 with a consumed dynamic power of 23 mW for a frequency of 13.5 MHz was achieved.
Part of the book: Biometrics and Cryptography [Working title]
The book chapter highlights the importance of securing online identities using lightweight encryption in the Internet of Things (IoT). It explores how lightweight ciphers can enhance the security of digital personas by safeguarding user information and access credentials. The chapter recognizes the vulnerabilities in the digital landscape, emphasizing the need for strong security without overwhelming resource-constrained IoT devices. By integrating lightweight encryption techniques into identity management systems, the chapter proposes a comprehensive approach to protect online identities within the IoT framework. This strategy aims to establish robust security while enabling smooth user interactions. Overall, the chapter contributes to the discourse on online identity protection and IoT data security.
Part of the book: Online Identity - An Essential Guide