Technology of Information Security
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App. Res. of Comp. Printed Article
Vol. 38, 2021 No. 7
2149-2152,2157

Hardware Trojan detection based on weighted parameter Mahalanobis distance

Huang Jiaoying
Li Shengyu
Gao Cheng
Liu Jiqiang
School of Reliability & Systems Engineering, Beihang University, Beijing 100191, China
DOI: 10.19734/j.issn.1001-3695.2020.10.0381

Abstract

In view of the low detection rate or failure of the conventional Mahalanobis distance discrimination method for hardware Trojan horse, this paper proposed an optimized discrimination scheme based on weighting and two parameter transformation by modeling and analyzing the power consumption characteristics of the chip during operation. Firstly, it adjusted the standard parameters and the sample matrix to be tested, and added the weight of the sample matrix eigenvector into the discriminant formula, and realized the optimal combination of parameters by MATLAB. Finally, it calculated the detection rate of hardware Trojan horse of the sample to be tested under the condition of 99% confidence. This paper implanted 0.3% hardware Trojan horse into the FPGA to be tested, and verified by FPGA hardware Trojan detection platform. The results show that the detection rate of this method reaches 85.14% when the detection rate of conventional Mahalanobis distance discrimination method is only 43.56%.

Foundation Support

国家“十三五”技术基础科研项目(JSZL2017601B011)

Publish Information

DOI: 10.19734/j.issn.1001-3695.2020.10.0381
Publish at: Application Research of Computers Printed Article, Vol. 38, 2021 No. 7
Section: Technology of Information Security
Pages: 2149-2152,2157
Serial Number: 1001-3695(2021)07-043-2149-04

Publish History

[2021-07-05] Printed Article

Cite This Article

黄姣英, 李胜玉, 高成, 等. 基于加权参数马氏距离的硬件木马检测 [J]. 计算机应用研究, 2021, 38 (7): 2149-2152,2157. (Huang Jiaoying, Li Shengyu, Gao Cheng, et al. Hardware Trojan detection based on weighted parameter Mahalanobis distance [J]. Application Research of Computers, 2021, 38 (7): 2149-2152,2157. )

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Application Research of Computers, founded in 1984, is an academic journal of computing technology sponsored by Sichuan Institute of Computer Sciences under the Science and Technology Department of Sichuan Province.

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