计算机工程与应用2017，Vol.53Issue(21)：258-262,5.DOI:10.3778/j.issn.1002-8331.1605-0149
面向硬件木马检测的旁路信号特征选择方法
Side channel signals feature selection method oriented to hardware Trojan detection
摘要
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 sepa-rability 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.关键词
硬件木马检测/旁路分析/特征选择/类内类间距离Key words
hardware Trojan detection/side-channel analysis/feature selection/in-class distance and between-class distance分类
信息技术与安全科学引用本文复制引用
李雄伟,徐璐,张阳,王晓晗,陈开颜..面向硬件木马检测的旁路信号特征选择方法[J].计算机工程与应用,2017,53(21):258-262,5.基金项目
国家自然科学基金(No.61271152,No.51377170). （No.61271152,No.51377170）
