• Microelectronics
  • Vol. 52, Issue 6, 955 (2022)
HU Xingsheng, XU Hao, YI Maoxiang, LIANG Huaguo, and LU Yingchun
Author Affiliations
  • [in Chinese]
  • show less
    DOI: 10.13911/j.cnki.1004-3365.210424 Cite this Article
    HU Xingsheng, XU Hao, YI Maoxiang, LIANG Huaguo, LU Yingchun. A Method of Detecting Unsupervised Learning Hardware Trojan Incorporating Ring Oscillator Trojan Characteristics[J]. Microelectronics, 2022, 52(6): 955 Copy Citation Text show less
    References

    [2] HUANG Z, WANG Q, CHEN Y, et al. A survey on machine learning against hardware Trojan attacks: recent advances and challenges [J]. IEEE Access, 2020, 8(99): 10796-10826.

    [4] BAO C, FORTE D, SRIVASTAVA A.On application of one-class SVM to reverse engineering based hardware Trojan detection [C]// 15th ISQED. Santa Clara, CA, USA. 2014: 47-54.

    [5] BAO C, FORTE D, SRIVASTAVA A. On reverse engineering-based hardware Trojan detection [J]. IEEE Trans Comput-Aid Des Integr Circ Syst, 2018, 35(1): 49-57.

    [6] NI J, LI J, LIN S F, et al.A method of noise optimiz-ation for hardware Trojans detection based on BP neural network [C]// IEEE 2nd ICCC. Chengdu, China. 2016: 2800-2804.

    [7] LI J, NI L, CHEN J H, et al.A novel hardware Trojan detection based on BP neural network [C]// IEEE 2nd ICCC. Chengdu, China. 2016: 2790-2794.

    [8] HASEGAWA K, OYA M, YANAGISAWA M, et al. Hardware Trojans classification for gate-level netlists based on machine learning [C]// IEEE 22nd IOLTS. Sant Feliu de Guixols, Spain. 2016: 203-206.

    [9] DONG C, CHEN J H, LIU Y L, et al. A machine-learning-based hardware Trojan detection approach for chips in the internet of things [J]. Int J Distrib Sens Netw, 2019, 15(12): 155014771988809.

    [10] DONG C, LIU Y L, CHEN J H, et al. An unsupervised detection approach for hardware Trojans [J]. IEEE Access, 2020, 8(99): 158169-158183.

    [11] KITSOS P, SIMOS D E, VOYIATZIS A G, et al. Exciting FPGA cryptographic Trojans using combinatorial testing [C]// IEEE 26th ISSRE. Gaithersbury, MD, USA. 2015: 69-76.

    [12] VOYIATZIS A G, STEFANIDIS K G, KITSOS P. Efficient triggering of Trojan hardware logic [C]// IEEE 19th DDECS. Kosice, Slovakia. 2016: 1-6.

    [13] Trust-HUB. [EB/OL]. http://www.trust-hub.org, 2019.

    HU Xingsheng, XU Hao, YI Maoxiang, LIANG Huaguo, LU Yingchun. A Method of Detecting Unsupervised Learning Hardware Trojan Incorporating Ring Oscillator Trojan Characteristics[J]. Microelectronics, 2022, 52(6): 955
    Download Citation