Method on Hardware Trojans Detection Based on Side Channel Analysis

doi:10.3969/j.issn.1671-1122.2017.11.003

Abstract

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

CLC Number:

TP309.1

Jing SU, Yiqiang ZHAO, Zhongwei ZHANG, Yanfang XIE. Method on Hardware Trojans Detection Based on Side Channel Analysis[J]. Netinfo Security, 2017, 17(11): 19-24.

Figures/Tables 5

References 20

[1]	HE L, LIU Q,ZHANG J.A Survey of Hardware Trojan Threat and Defense[J]. INTEGRATION, the VLSI journal, 2016,55:426-437.
[2]	MITRA S, WONG H S P , WONG S, The Trojan-proof Chip[J]. Spectrum IEEE,2015 , 52(2) :46-51.
[3]	CHAKRABORTY R S,SAHA I, PALCHAUDHURI A,et al.Hardware Trojan Insertion by Direct Modification of FPGA Configuration Bitstream[J]. IEEE Design & Test , 2013 , 30(2) :45-54.
[4]	SHILA D M,VENUGOPAL V.Design, Implementation and Security Analysis of Hardware Trojan Threats in FPGA[C]// ACM . FPGA '14 Proceedings of the 2014 ACM/SIGDA international symposium on Field-programmable gate arrays,February 26 - 28, 2014,Monterey, California, USA .ACM:New York, 2014:719-724.
[5]	KIM L W,VILLASENOR J D.Dynamic Function Replacement for System-on-chip Security in the Presence of Hardware-based Attacks[J]. IEEE Transactions on Reliability , 2014 , 63(2) :661-675.
[6]	RUDRA M R,DANIEL N A,NAGOORKAR V,et al.Designing Stealthy Trojans with Sequential Logic: A Stream Cipher Case Study[EB/OL]. https://www.researchgate.net/publication/266657437_Designing_Stealthy_Trojans_with_Sequential_Logic_A_Stream_Cipher_Case_Study,2016-7-15.
[7]	BHASIN S,REGAZZONI F.A Survey on Hardware Trojan Detection Techniques[C]//IEEE.IEEE International Symposium on Circuits and Systems (ISCAS), May 24-27, Lisbon, Portugal. IEEE:New York,2015: 2021-2024.
[8]	WANG X X, SALMANI H,TEHRANIPOOR M, et al.Hardware Trojan Detection and Isolation Using Current Integration and Localized Current Analysis[C]// IEEE .2012 IEEE International Symposium on Defect and Fault Tolerance in VLSI and Nanotechnology Systems, October 1-3,2008,Boston, MA, USA. IEEE:New York,2008:87-95.
[9]	AGRAWAL D, BAKTIR S, ARKOYUNLU D, et al.Trojan Detection Using IC Fingerprinting[C]// IEEE .IEEE Symposium on Security and Privacy,May 20-23,Berkeley, CA, USA . IEEE:New York, 2007:296-310.
[10]	张鹏,王新成,周庆.基于投影寻踪分析的芯片硬件木马检测[J].通信学报, 2013, 34(4):122-126.
[11]	刘长龙,赵毅强,史亚峰,等.基于相关性分析的硬件木马检测方法[J].计算机工程,2013, 39(9):183-185.
[12]	王力纬,贾鲲鹏,方文啸,等.基于马氏距离的硬件木马检测方法[J].微电子学, 2013(6):817-820.
[13]	周昱,于宗光. 硬件木马威胁与识别技术综述[J]. 信息网络安全,2016(1):11-17.
[14]	赵毅强,杨松,何家骥,等.基于主成分分析的硬件木马检测方法[J].华中科技大学学报(自然科学版), 2015, 43(8):66-69.
[15]	蒋政君,田海博,张方国. 基于PUF的RFID防伪技术研究综述[J]. 信息网络安全,2016(4):38-43.
[16]	刘长龙,赵毅强,史亚峰,等.基于侧信道分析的硬件木马的建模与优化[J].华中科技大学学报(自然科学版), 2013, 41(2):53-57.
[17]	王庆,屠晨阳,沈嘉荟. 侧信道攻击通用框架设计及应用[J]. 信息网络安全,2017(5):57-62.
[18]	吴晓萍,赵学靖,乔辉,等.基于LASSO-SVM的软件缺陷预测模型研究[J].计算机应用研究, 2013, 43(8):66-69.
[19]	刘长龙. 基于侧信道分析的硬件木马检测方法研究[D].天津:天津大学电子信息工程学院,2013.
[20]	冯紫竹. 基于侧信道分析的硬件木马检测平台设计[D].天津:天津大学电子信息工程学院,2013.