Register-transfer-level features for machine-learning-based hardware trojan detection

• Main Authors: Choo, Hau Sim, Ooi, Chia Yee, Inoue, Michiko, Ismail, Nordinah, Moghbel, Mehrdad, Kok, Chee Hoo
• Format: Article
• Published: Institute of Electronics, Information and Communication 2020
• Subjects: T Technology (General)
• Online Access: http://eprints.utm.my/id/eprint/90136/; http://dx.doi.org/10.1587/transfun.2019EAP1044

Register-transfer-level (RTL) information is hardly available for hardware Trojan detection. In this paper, four RTL Trojan features related to branching statement are proposed. The Minimum Redundancy Maximum Relevance (mRMR) feature selection is applied to the proposed Trojan features to determine...