Hardware Trojan Detection Utilizing Machine Learning Approaches

Kento Hasegawa, Youhua Shi, Nozomu Togawa

    研究成果: Conference contribution

    抜粋

    Hardware security has become a serious concern in recent years. Due to the outsourcing in hardware production, malicious circuits (or hardware Trojans) can be easily inserted into hardware products by attackers. Since hardware Trojans are tiny and stealthy, their detection is difficult. Under the circumstances, numerous hardware-Trojan detection methods have been proposed. In this paper, we elaborate the overview of hardware-Trojan detection and review the hardware-Trojan detection methods using machine learning which is one of the state-of-the-art approaches.

    元の言語English
    ホスト出版物のタイトルProceedings - 17th IEEE International Conference on Trust, Security and Privacy in Computing and Communications and 12th IEEE International Conference on Big Data Science and Engineering, Trustcom/BigDataSE 2018
    出版者Institute of Electrical and Electronics Engineers Inc.
    ページ1891-1896
    ページ数6
    ISBN(印刷物)9781538643877
    DOI
    出版物ステータスPublished - 2018 9 5
    イベント17th IEEE International Conference on Trust, Security and Privacy in Computing and Communications and 12th IEEE International Conference on Big Data Science and Engineering, Trustcom/BigDataSE 2018 - New York, United States
    継続期間: 2018 7 312018 8 3

    Other

    Other17th IEEE International Conference on Trust, Security and Privacy in Computing and Communications and 12th IEEE International Conference on Big Data Science and Engineering, Trustcom/BigDataSE 2018
    United States
    New York
    期間18/7/3118/8/3

    ASJC Scopus subject areas

    • Computer Networks and Communications
    • Hardware and Architecture
    • Information Systems
    • Information Systems and Management
    • Safety, Risk, Reliability and Quality

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  • これを引用

    Hasegawa, K., Shi, Y., & Togawa, N. (2018). Hardware Trojan Detection Utilizing Machine Learning Approaches. : Proceedings - 17th IEEE International Conference on Trust, Security and Privacy in Computing and Communications and 12th IEEE International Conference on Big Data Science and Engineering, Trustcom/BigDataSE 2018 (pp. 1891-1896). [8456155] Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/TrustCom/BigDataSE.2018.00287