信息网络安全 ›› 2017, Vol. 17 ›› Issue (11): 19-24.doi: 10.3969/j.issn.1671-1122.2017.11.003

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基于侧信道分析的硬件木马检测方法

苏静1,2(), 赵毅强1, 张中伟2, 谢艳芳2   

  1. 1.天津大学微电子学院,天津 300072
    2.天津科技大学计算机科学与信息工程学院,天津 300222
  • 收稿日期:2017-09-19 出版日期:2017-11-20 发布日期:2020-05-12
  • 作者简介:

    作者简介: 苏静(1979—),女,北京,副教授,博士研究生,主要研究方向为信息安全、智能信息处理;赵毅强(1964—),男,河北,教授,博士,主要研究方向为信息安全、硬件木马;张中伟(1977—),女,天津,讲师,硕士,主要研究方向为信息安全;谢艳芳(1977—),女,天津,讲师,硕士,主要研究方向为嵌入式应用。

  • 基金资助:
    国家自然科学基金[61376032,61402331];天津市自然科学基金重点资助项目[12JCZDJC20500]

Method on Hardware Trojans Detection Based on Side Channel Analysis

Jing SU1,2(), Yiqiang ZHAO1, Zhongwei ZHANG2, Yanfang XIE2   

  1. 1.School of Microelectrnics, Tianjin University, Tianjin 300072, China
    2.College of Computer Science and Information Engineering, Tianjin University of Science&Technology, Tianjin 300222, China;
  • Received:2017-09-19 Online:2017-11-20 Published:2020-05-12

摘要:

文章在提出木马理论分析和侧信道检测方法基础上,研究模式相似性理论,并将其应用于集成电路侧信道信息的数据分析与分类处理。文章进而提出了一种基于距离测度分布的侧信道硬件木马检测方法,并详细介绍了检测原理和检测流程,最终在自主设计的FPGA检测平台上进行基于功耗信息的实验验证,实验证明文章提出的方法可以检测出面积为0.6%左右的硬件木马。

关键词: 硬件木马, 功耗分析, 模式识别, 距离测度分布

Abstract:

In this paper the hardware Trojans theory is described and the side-channel detection method is mentioned firstly,then the pattern similarity theory is studied and applied into the data processing and analysis of side channel information in integrated circuits. Furthermore a method on hardware Trojans detection is set up based on distance measure distribution, and the detection principle and the detection process is given in details. Finally the experiments are implemented in FPGA platform based on power side-channel information. The experiments show that when the Trojan circuit of area 0.6% is implanted into the standard circuit, the detection method in this paper can detect them successfully.

Key words: hardware Trojans, power analysis, pattern recognition, distance measure distribution

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