Ultra-Low Power SRAM-PUF for IoT Devices Based on CNTFETs

With the rapid advancement of artificial intelligence and machine learning in Industry 4.0 and cyber-physical systems, security poses a significant challenge for humans. To address this, Physical Unclonable Functions (PUFs) have emerged as a promising and lightweight solution for securing IoT devices. The demand for low-power and secure crypto-devices has become critical in the context of the Internet of Things (IoT) and its emerging technologies. Although IoT has enabled battery-powered devices to transmit sensitive data, it has also introduced issues of high power consumption and security vulnerabilities. In this paper, we propose an investigation into the use of adiabatic logic with carbon nanotube field-effect transistors (CNTFETs) for designing lightweight IoT devices that tackle these challenges. This computing platform offers potential benefits in terms of security and energy efficiency for IoT applications.