摘要： 硬件木马给集成电路芯片可靠性带来巨大威胁。为此,基于隐马尔可夫模型,提出一种新的木马检测方法。提取母本电路数据的特征参数,并对该参数进行训练得到正常模型,提取待测数据的特征参数,并计算该参数与上述模型的匹配程度,以进行分析识别。实验结果表明,该方法能对木马进行有效识别,且能检测出面积比为0.53%的硬件木马。

关键词: 硬件木马, 集成电路芯片, 隐马尔可夫模型, 木马检测, 功耗

Abstract: Hardware Trojan causes a huge threat to the reliability of the integrated circuit chips,so this paper proposes a Trojan detection method based on Hidden Markov Model(HMM).It extracts the characteristic parameters of original circuit data,trains the parameters to obtain the normal model,extracts the characteristic parameters of the data under test,and calculates the matching degree of the parameters with the model above to make analysis identification.Experimental results show that this method is effective in identification of Trojan.It can detect the hardware Trojan whose area ratio is 0.53%.

Key words: hardware Trojan, integrated circuit chip, Hidden Markov Model(HMM), Trojan detection, power consumption

中图分类号: 

• TN918