Hardware Trojan Detection Based on Side-Channel Analysis Using Power Traces and Machine Learning
Van‐Phuc Hoang · Annals of Computer Science and Information Systems · 2022
With the continuous development of the Integrated Circuit (IC) manufacturing where international outsourcing is one of the main trends, hardware Trojan (HT) has been considered as a serious problem for hardware security in modern electronic systems.This paper presents a novel HT detection method based on the side-channel analysis with power traces and the machine learning (ML) technique.Side-channel information of the AES encryption core was acquired by the power consumption measurement equipment and then classified with Softmax regression.The ML technique was applied to classify and detect the HT.The experimental results have clarified the efficiency of the proposed method.