A Novel ATPG Method to Increase Activation Probability of Hardware Trojan

被引:0
作者
Xu, Tianliang [1 ]
Wang, Chenxu [1 ]
Zhao, Shiyao [1 ]
Zhou, Zhiquan [1 ]
Luo, Min [1 ]
Wang, Xinsheng [1 ]
机构
[1] Harbin Inst Technol, Sch Informat Sci & Engn, Weihai, Peoples R China
来源
2019 IEEE PACIFIC RIM CONFERENCE ON COMMUNICATIONS, COMPUTERS AND SIGNAL PROCESSING (PACRIM) | 2019年
基金
美国国家科学基金会;
关键词
hardware Trojan detection; logic test; N-detect ATPG;
D O I
10.1109/pacrim47961.2019.8985088
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
A hardware Trojan is defined as a malicious, undesired modification hidden in an electronic circuit. Since the logic test has the advantage of being free of process fluctuations and test noise, a logic test is used to test whether the circuit under test contains a hardware Trojan. This paper optimizes N-detect ATPG detection scheme to generate optimized test vectors for logic testing. The simulation results on s5378 and s38417 benchmarks demonstrate that, compared with traditional logic test technique, the test vectors generated by this paper are able to successfully increase activation probability of a hardware Trojan and detect abnormal outputs.
引用
收藏
页数:5
相关论文
共 29 条
  • [21] Hardware Trojan Detection Method Based on Dual Discriminator Assisted Conditional Generation Adversarial Network
    Wenjing Tang
    Jing Su
    Yuchan Gao
    Journal of Electronic Testing, 2023, 39 : 129 - 140
  • [22] Hardware Trojan Detection Method Based on Dual Discriminator Assisted Conditional Generation Adversarial Network
    Tang, Wenjing
    Su, Jing
    Gao, Yuchan
    JOURNAL OF ELECTRONIC TESTING-THEORY AND APPLICATIONS, 2023, 39 (02): : 129 - 140
  • [23] A Novel Detection Algorithm for Ring Oscillator Network Based Hardware Trojan Detection with Tactful FPGA Implementation
    Qu, Kaige
    Wu, Liji
    Zhang, Xiangmin
    2015 11TH INTERNATIONAL CONFERENCE ON COMPUTATIONAL INTELLIGENCE AND SECURITY (CIS), 2015, : 299 - 302
  • [24] A Novel Golden Models-Free Hardware Trojan Detection Technique Using Unsupervised Clustering Analysis
    Bian, Rongzhen
    Xue, Mingfu
    Wang, Jian
    CLOUD COMPUTING AND SECURITY, PT IV, 2018, 11066 : 634 - 646
  • [25] A machine learning based golden-free detection method for command-activated hardware Trojan
    Shang, Ning
    Wang, An
    Ding, Yaoling
    Gai, Keke
    Zhu, Liehuang
    Zhang, Guoshuang
    INFORMATION SCIENCES, 2020, 540 (292-307) : 292 - 307
  • [26] Signal word-level statistical properties-based activation approach for hardware Trojan detection in DSP circuits
    Li, He
    Liu, Qiang
    Chen, Fuqiang
    IET COMPUTERS AND DIGITAL TECHNIQUES, 2018, 12 (06) : 258 - 267
  • [27] Hybrid Multi-level Hardware Trojan Detection Method for Gate-level Netlists Based on XGBoost
    Zhang Ying
    Li Shen
    Chen Xin
    Yao Jiaqi
    Mao Zhiming
    JOURNAL OF ELECTRONICS & INFORMATION TECHNOLOGY, 2021, 43 (10) : 3050 - 3057
  • [28] Detection method of Golden Chip-Free Hardware Trojan based on the combination of ResNeXt structure and attention mechanism
    Chen, Shouhong
    Wang, Tao
    Huang, Zhentao
    Hou, Xingna
    COMPUTERS & SECURITY, 2023, 134
  • [29] Building Trusted Golden Models-free Hardware Trojan Detection Framework Against Untrustworthy Testing Parties Using A Novel Clustering Ensemble Technique
    Bian, Rongzhen
    Xue, Mingfu
    Wang, Jian
    2018 17TH IEEE INTERNATIONAL CONFERENCE ON TRUST, SECURITY AND PRIVACY IN COMPUTING AND COMMUNICATIONS (IEEE TRUSTCOM) / 12TH IEEE INTERNATIONAL CONFERENCE ON BIG DATA SCIENCE AND ENGINEERING (IEEE BIGDATASE), 2018, : 1458 - 1463