A New Hardware Trojan Detection Method Based on Kernel Maximum Margin Criterion
LI Xiong-wei;WANG Xiao-han;ZHANG Yang;CHEN Kai-yan;XU Lu;Department of Information Engineering,Ordnance Engineering College;
A hardware Trojan detection method based on kernel maximum margin criterion and an improved detection method are proposed on basis of the statistical model of power side-channel signal. The methods can map the rawpower side-channel signal into a higher dimensional space,where it had a higher separability,and then it is projected onto a low-dimensional subspace,so that non-linear characteristics of differences in the rawdata are found,and nonlinear characteristics extraction and recognition of power side-channel signal are achieved. The detection experiment against the Trojan circuit in AES encryption circuit shows that,the number of samples beyond the detection boundary by the method( 792) is more than Karhunen-Loève Transform( 400),which gets a better detection result.