电子学报2016，Vol.44Issue(5)：1132-1138,7.DOI:10.3969/j.issn.0372-2112.2016.05.017
基于探索式分区和测试向量生成的硬件木马检测方法
A Novel Hardware Trojan Detection Technique Using Heuristic Partition and Test Pattern Generation
摘要
Abstract
A novel hardware Trojan detection method based on heuristic partition and optimal test pattern generation is proposed.First,we use a scan cell distribution based heuristic partition to divide the circuit into regions.Then,we propose a test vector ordering algorithm to generate near-optimal test patterns based on the circuit’s structure.Lastly,we activate each region separately and perform localized IDDT analysis to detect hardware Trojans while a signal calibration technique is used to eliminate the effect of process variations and noises.The benefits of this approach are that it can magnify detection sensitivity,eliminate the effects of process variations and noises,ensure the scalability of hardware Trojan detection facing large scale ICs,and determine Trojan’s location.We evaluate our approach on benchmark circuits and the experiment results show that the detection sensitivity is greatly improved.关键词
硬件安全/硬件木马检测/探索式分区/最优测试向量生成Key words
hardware security/hardware Trojan detection/heuristic partition/optimal test pattern generation分类
信息技术与安全科学引用本文复制引用
薛明富,胡爱群,王箭..基于探索式分区和测试向量生成的硬件木马检测方法[J].电子学报,2016,44(5):1132-1138,7.基金项目
江苏省自然科学基金青年基金（No．BK20150758）；中国博士后科学基金面上资助（No．2014M561644）；江苏省博士后基金科研资助（No．1402034C）；中国民航信息技术科研基地开放课题基金（No．CAAC-ITRB-201405）；中央高校基本科研业务费专项资金资助 （）
