Abstract: For the chip power consumption data acquisition when the influence of the noise problem, this paper proposes a multiple sidechannel analysis method based on correlation analysis, using the intrinsic relationship between dynamic current and electromagnetic radiation to identify the existence of hardware trojans. A dual channel detection platform is built to simultaneously collect and store the dynamic power consumption and electromagnetic radiation of the chip. Pearson correlation coefficient curves of power consumption and electromagnetism are obtained to distinguish hardware Trojan horse chip from hardware Trojan horse chip. The experimental results show that the hardware Trojan detection method based on multipleparameter sidechannel analysis can screen out the chip containing hardware Trojan whose area is only 0.28% of the chip to be tested, and can distinguish the two hardware Trojan horses whose area difference is only 0.08% of the chip to be tested.

Key words: hardware Trojan, sidechannel analysis, Pearson correlation coefficient, chip security, FPGA

摘要： 针对芯片功耗数据采集时易受噪声影响的问题，提出了一种基于相关性分析的多旁路分析方法，利用动态电流和电磁辐射之间的内在关系识别硬件木马的存在，搭建了能够同时对芯片的动态功耗与电磁辐射进行采集和存储的双通道检测平台，得到了功耗和电磁的皮尔逊相关系数曲线，区分出了无硬件木马芯片与硬件木马芯片.实验结果表明，基于多旁路参数的硬件木马检测方法能够筛选出含有面积仅占待测芯片0.28%的硬件木马的芯片，且能区分出待测芯片中面积相差仅为0.08%的2种硬件木马.

关键词: 硬件木马, 旁路分析, 皮尔逊相关系数, 芯片安全, FPGA