关键词: 硬件木马检测, 旁路分析, 特征选择, 类内类间距离

Abstract: Aiming at the existing problems such assignal redundancy and high dimension problems in Hardware Trojan detection based on the side-channel analysis, this paper explores the feasibility of feature selection method in removing redundancy and reducing the dimension of side-channel signal, then puts forward a feature selection method using in-class distance and between-class distance as class divisible criterion of feature selection method and processing the side-channel in advance. First, this paper analyzes the feature selection problem in side-channel, then elaborates the class separability criterion based on in-class distance and between-class distance and feature selection algorithms. In the end, implants the Trojans into the FPGA crypto chip, and test it using the K-L method, through the comparison before and after the detection effectinside-channel signal feature selection, this methods can help to distinguish side-channel signal statistical characteristic difference between“gold chip”（without Trojans implanted） and Trojan chip（contain Trojan）, and better implementation the Hardware Trojan Detection.

Key words: hardware Trojan detection, side-channel analysis, feature selection, in-class distance and between-class distance