A Hardware Trojan Detection Method for IoT Sensors Using Side-Channel Activity Magnifier
Esrafil Jedari, Rashid Rashidzadeh · IEEE Internet of Things Journal · 2021
As the Internet of Things (IoT) technology matures and becomes widely adopted, security for IoT networks remains the main concern for users and organizations across the globe. The full potential of IoT technology will not be realized without a robust security solution. IoT sensors are considered weak links in IoT networks that can be utilized to access key information or to attack IoT networks. In this work, a new technique is presented to detect hardware Trojans. It is shown how to amplify the side-channel leakage of a Trojan to increase its observability and the detection rate. In the proposed solution, the effect of adding a Trojan on the supply path is observed to detect the Trojan. Experimental measurement results on a prototype demonstrate that the proposed method can increase the observability for a Trojan by more than tenfold without increasing the signal-to-noise ratio. Small size Trojans, which remain undetected using conventional methods, can be identified with the proposed solution.