IEICE Electronics Express | |
An intelligent classification method for Trojan detection based on side-channel analysis | |
Mingyan Yu1  Jinxiang Wang2  Chenxu Wang1  Jinghu Li1  | |
[1] School of Information and Electrical Engineering, Harbin Institute of Technology;Harbin Institute of Technology, Harbin, Heilongjiang Province | |
关键词: side-channel analysis; hardware Trojan; detection; One Class SVM (OCSVM); | |
DOI : 10.1587/elex.10.20130602 | |
学科分类:电子、光学、磁材料 | |
来源: Denshi Jouhou Tsuushin Gakkai | |
【 摘 要 】
References(5)Side-channel analysis is an important strategy for Hardware Trojan (HT) detection. Karhunen-Love (K-L) expansion can be used to improve side-channel signals analysis quality, As an auxiliary post-processing method of K-L expansion, One Class Support Vector Machine (OCSVM) is introduced to achieve ICs intelligent classification. With the OCSVM and the power traces of Genuine ICs (Genuines), a hyper sphere can be built to distinguish the Trojan ICs (Trojans) from Genuines. The effectiveness of the proposed approach is experimentally demonstrated using power simulations performed on a representative circuit with several different Trojan circuits.
【 授权许可】
Unknown
【 预 览 】
Files | Size | Format | View |
---|---|---|---|
RO201911300358440ZK.pdf | 777KB | download |