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.
Topics & Concepts
NetlistTrojanHardware TrojanComputer scienceHardware security moduleEmbedded systemFeature (linguistics)Range (aeronautics)Computer hardwareComputer engineeringComputer securityCryptographyEngineeringLinguisticsPhilosophyAerospace engineeringPhysical Unclonable Functions (PUFs) and Hardware SecurityIntegrated Circuits and Semiconductor Failure AnalysisAdversarial Robustness in Machine Learning