Survey: Hardware Trojan Detection for Netlist

Yipei Yang, Jing Ye, Yuan Cao, Jiliang Zhang, Xiaowei Li, Huawei Li, Yu Hu

Abstract: The development of integrated circuit technology is accompanied by potential threats. Malicious modifications to circuits, known as hardware Trojans, are major security concerns. This paper gives a survey of hardware Trojan detection methods towards gate-level netlists. The detection methods are divided into search-based, threshold-based, and machine learning-based ones. This paper compares and analyzes existing works from aspects of feature selection, data balancing techniques, classification criterion, detection range. The experimental results are also selected for comparison.