An intelligent classification method for Trojan detection based on side-channel analysis

IEICE Electronics Express

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