Title :
Nonlinear analysis for hardware Trojan detection
Author :
Errui Zhou;Shaoqing Li;Zhixun Zhao;Lin Ni
Author_Institution :
College of Computer, National University of Defense Technology, Changsha, China
Abstract :
As an important content of chip security, Hardware Trojan detection has attracted a lot of attention. The existing Hardware Trojan detection methods based on side-channel power consumption are effective. The main existing Hardware Trojan detection methods based on side-channel power consumption analysis mainly concentrate on linear features but ignore the features of Hardware Trojan in nonlinear space. This paper proposes a nonlinear detection method based on side-channel power consumption information, it extracts and magnifies features of Hardware Trojan in nonlinear space and achieves Hardware Trojan detection. The results of experiment show that the nonlinear analysis method proposed in this paper can detect the Hardware Trojan effectively in nonlinear space.
Keywords :
"Hardware","Trojan horses","Power demand","Feature extraction","Covariance matrices","Principal component analysis","Algorithm design and analysis"
Conference_Titel :
Signal Processing, Communications and Computing (ICSPCC), 2015 IEEE International Conference on
Print_ISBN :
978-1-4799-8918-8
DOI :
10.1109/ICSPCC.2015.7338921