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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Main Authors: | , , , , , |
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Format: | Article |
Published: |
Institute of Electronics, Information and Communication
2020
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Subjects: | |
Online Access: | http://eprints.utm.my/id/eprint/90136/ http://dx.doi.org/10.1587/transfun.2019EAP1044 |
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Institution: | Universiti Teknologi Malaysia |