IP软核硬件木马图谱特征分析检测方法  

Graph Features Analysis and Detection Method of IP Soft Core Hardware Trojan

作　　者：倪林 李霖[3] 张帅[2,3] 童思程[3] 钱杨 NI Lin;LI Lin;ZHANG Shuai;TONG Sicheng;QIAN Yang(College of Electronic Science and Technology,National University of Defense Technology,Changsha 410073,China;College of Computer Science and Technology,National University of Defense Technology,Changsha 410073,China;College of Information and Communication,National University of Defense Technology,Wuhan 430035,China)

机构地区：[1]国防科技大学电子科学学院,长沙410073 [2]国防科技大学计算机学院,长沙410073 [3]国防科技大学信息通信学院,武汉430035

出　　处：《电子与信息学报》2024年第11期4151-4160,共10页Journal of Electronics & Information Technology

摘　　要：随着集成电路技术的飞速发展,芯片在设计、生产和封装过程中,很容易被恶意植入硬件木马逻辑,当前IP软核的安全检测方法逻辑复杂、容易错漏且无法对加密IP软核进行检测。该文利用非可控IP软核与硬件木马寄存器传输级(RTL)代码灰度图谱的特征差异,提出一种基于图谱特征分析的IP软核硬件木马检测方法,通过图谱转换和图谱增强得到标准图谱,利用纹理特征提取匹配算法实现硬件木马检测。实验使用设计阶段被植入7类典型木马的功能逻辑单元为实验对象,检测结果显示7类典型硬件木马的检测正确率均达到了90%以上,图像增强后特征点匹配成功数量的平均增长率达到了13.24%,有效提高了硬件木马检测的效率。With the rapid development of integrated circuit technology,chips are easily implanted with malicious hardware Trojan logic in the process of design,production and packaging.Current security detection methods for IP soft core are logically complex,prone to errors and omissions,and unable to detect encrypted IP soft core.The paper uses the feature differences of non-controllable IP soft core and hardware Trojan Register Transfer Level(RTL)code grayscale map,proposing a hardware Trojan detection method for IP soft cores based on graph feature analysis,through the map conversion and map enhancement to get the standard map,using the texture feature extraction matching algorithm to achieve hardware Trojan detection.The experimental subjects are functional logic units with seven types of typical Trojans implanted during the design phase,and the detection results show that the detection correct rate of seven types of typical hardware Trojans has reached more than 90%,and the average growth rate of the number of successful feature point matches after the image enhancement has reached 13.24%,effectively improving the effectiveness of hardware Trojan detection.

关 键 词：IP软核 硬件木马 灰度图谱 纹理特征 检测算法 

分 类 号：TN915.08[电子电信—通信与信息系统] TP309.1[电子电信—信息与通信工程]