火力与指挥控制2017，Vol.42Issue(9)：44-48,5.DOI:10.3969/j.issn.1002-0640.2017.09.010
基于概率分布的硬件木马检测特征选择方法
Hardware Trojan Detection Feature Selection Method Based on Probability Distribution
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,to explore a feasibility of feature selection method in removing redundancy and reducing of side-channel signal,by considering the probability distribution of samples ,then a feature selection method using Divergence and distance of Bhattacharyya as class divisible criterion of feature selection method is put forward.First,the feature selection problem in side-channel,then elaborated the calss separability criterion based on Divergence and distance of Bhattacharyya are analyzed,In the end,we implant the Trojans into the FPGA chip,and test it using K-L method,through the comparison before and after the detection effection side-channel signal feature selection we can see,this method can help to distinguish side-channel signal statistical characteristic difference between"gold chip"and Trojan chip(contain Trojan),establish direct relations with classification error rate,and better implements the Hardware Trojan Detection.关键词
硬件木马检测/特征选择/分类错误率/散度/Bhattacharyya距离Key words
hardware trojan detection/feature selection/classification error rate/divergence/the distance of bhattacharyya分类
信息技术与安全科学引用本文复制引用
徐璐,李雄伟,张阳,王晓晗,桂伟龙..基于概率分布的硬件木马检测特征选择方法[J].火力与指挥控制,2017,42(9):44-48,5.基金项目
国家自然科学基金资助项目(61271152,51377170) （61271152,51377170）
