Register-Transfer-Level Features for Machine-Learning-Based Hardware Trojan Detection

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...

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Veröffentlicht in:	IEICE Transactions on Fundamentals of Electronics, Communications and Computer Sciences Communications and Computer Sciences, 2020/02/01, Vol.E103.A(2), pp.502-509
Hauptverfasser:	CHOO, Hau Sim, OOI, Chia Yee, INOUE, Michiko, ISMAIL, Nordinah, MOGHBEL, Mehrdad, KOK, Chee Hoo
Format:	Artikel
Sprache:	eng
Schlagworte:	Algorithms Classification Decision trees feature extraction Hardware hardware Trojan integrated circuit Machine learning Malware Redundancy register-transfer level
Online-Zugang:	Volltext
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