基于小波降噪数据预处理的硬件木马检测优化

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 Trojan detection method of wavelet transform of the noise reduction data preprocessing is proposed. The obtained power consumption information is preprocessed by wavelet de-noising, then the data is processed by Markov distance to identify hardware Trojan. Afterwards, ISCAS’89 series benchmark circuits containing Trojans are implemented on FPGA, then the power information is processed. The experimental results show that this method can detect hardware Trojan with an area ratio of 0.24%.