基于小波降噪数据预处理的硬件木马检测优化  

Hardware Trojan detection optimization based on wavelet de-noising data preprocessing

作　　者：李衡[1] 赵毅强[2] 杨瑞霞[1] 何家骥[2] 李跃辉[2] 杨松[2] LI Heng;ZHAO Yiqiang;YANG Ruixia;HE Jiaji;LI Yuehui;YANG Song(School of Electronic Information Engineering, Hebei University of Technology, Tianjin 300401, China;School of Electronic Information Engineering, Tianjin University, Tianjin 300072, China)

机构地区：[1]河北工业大学电子信息工程学院,天津300401 [2]天津大学电子信息工程学院,天津300072

出　　处：《计算机工程与应用》2017年第1期49-53,共5页Computer Engineering and Applications

基　　金：国家自然科学基金(No.61376032)

摘　　要：针对硬件木马检测中数据预处理效果不佳的问题,提出了小波变换的数据降噪预处理的硬件木马检测的优化方法。在对提取的功耗信息进行小波变换数据降噪预处理基础上,利用马氏距离进行硬件木马的判别。对基于FPGA实现的含有木马的ISCAS’89系列的基准电路进行检测,并进行后续的数据处理实验。实验结果表明,采用小波变换的数据降噪预处理的硬件木马检测优化方法,可检测出占母本电路面积为0.24%的硬件木马。Aiming at the problem of poor data preprocessing in hardware Trojan detection, the optimized hardware Trojandetection method of wavelet transform of the noise reduction data preprocessing is proposed. The obtained powerconsumption information is preprocessed by wavelet de-noising, then the data is processed by Markov distance to identifyhardware Trojan. Afterwards, ISCAS’89 series benchmark circuits containing Trojans are implemented on FPGA, thenthe power information is processed. The experimental results show that this method can detect hardware Trojan with anarea ratio of 0.24%.

关 键 词：硬件木马 小波降噪 数据预处理 马氏距离 旁路分析 硬件木马检测 

分 类 号：TN918[电子电信—通信与信息系统]