王韬,
李雄伟,,
张阳,
黄长阳
陆军工程大学石家庄校区装备模拟训练中心 ??石家庄 ??050003
基金项目:国家自然科学基金(61602505)
详细信息
作者简介:王晓晗：男，1992年生，博士生，研究方向为芯片安全技术
王韬：男，1964年生，教授，博士，研究方向为信息安全与网络对抗
李雄伟：男，1975年生，副教授，博士，研究方向为芯片安全技术
张阳：男，1984年生，讲师，博士，研究方向为集成电路安全
黄长阳：男，1994年生，硕士生，研究方向为网络安全技术
通讯作者:李雄伟 lxw-wys@163.com
中图分类号:TN918计量
文章访问数:1566
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被引次数:0
出版历程
收稿日期:2019-01-03
修回日期:2019-03-14
网络出版日期:2019-05-28
刊出日期:2019-12-01
A Hardware Trojan Detection Method Based on Compression Marginal Fisher Analysis
Xiaohan WANG,Tao WANG,
Xiongwei LI,,
Yang ZHANG,
Changyang HUANG
Equipment Simulation Training Center, Army Engineering University Shijiazhuang Campus, Shijiazhuang 050003, China
Funds:The National Natural Science Foundation of China (61602505)
摘要
摘要:针对物理环境下旁路分析技术对电路中规模较小的硬件木马检出率低的问题，该文引入边界Fisher分析(MFA)方法，并提出一种基于压缩边界Fisher分析(CMFA)的硬件木马检测方法。通过减小样本的同类近邻样本与该样本以及类中心之间距离和增大类中心的同类近邻样本与异类样本之间距离的方式，构建投影空间，发现原始功耗旁路信号中的差异特征，实现硬件木马检测。AES加密电路中的硬件木马检测实验表明，该方法具有比已有检测方法更高的检测精度，能够检测出占原始电路规模0.04%的硬件木马。
关键词:硬件木马检测/
集成电路/
旁路分析/
流形学习/
边界Fisher分析
Abstract:Against the problem of low detection rate to detect small hardware Trojan by side-channel in physical environment, the Marginal Fisher Analysis (MFA) is introduced. On the basis, a hardware Trojan detection method based on Compression Marginal Fisher Analysis (CMFA) is proposed. The projection space is constructed by reducing the distance between the sample and its same neighbor samples, and the distance between the same neighbor samples and the center of the same kind, and increasing the distance between the same neighbor samples of the center and the sample in different kind. Thus, the difference in the original data is found without any assumptions about data distribution, and the detection of hardware Trojan is achieved. The hardware Trojan detection experiment in AES encryption circuit shows that this method can effectively distinguish the statistical difference in side-channel signal between reference chip and Trojan chip and detect the hardware Trojan whose scale is 0.04% of the original circuit.
Key words:Hardware Trojan detection/
Integrated Circuit(IC)/
Side-channel analysis/
Manifold learning/
Marginal Fisher Analysis (MFA)
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https://jeit.ac.cn/article/exportPdf?id=2df1d0d9-b046-40db-a456-814d619cb312
