• DocumentCode
    3701710
  • Title

    FASTrust: Feature analysis for third-party IP trust verification

  • Author

    Song Yao;Xiaoming Chen;Jie Zhang;Qiaoyi Liu;Jia Wang;Qiang Xu;Yu Wang;Huazhong Yang

  • Author_Institution
    Department of Electronic Engineering, Tsinghua University, Beijing 100084, China
  • fYear
    2015
  • Firstpage
    1
  • Lastpage
    10
  • Abstract
    Third-party intellectual property (3PIP) cores are widely used in integrated circuit designs. It is essential and important to ensure their trustworthiness. Existing hardware trust verification techniques suffer from high computational complexity, low extensibility, and inability to detect implicitly-triggered hardware trojans (HTs). To tackle the above problems, in this paper, we present a novel 3PIP trust verification framework, named FASTrust, which conducts HT feature analysis on the flip-flop level control-data flow graph (CDFG) of the circuit. FASTrust is not only able to identify existing explicitly-triggered and implicitly-triggered HTs appeared in the literature in an efficient and effective manner, but more importantly, it also has the unique advantage of being scalable to defend against future and more stealthy HTs by adding new features to the system.
  • Keywords
    "Feature extraction","Combinational circuits","Hardware","Integrated circuit modeling","Trojan horses","Wires"
  • Publisher
    ieee
  • Conference_Titel
    Test Conference (ITC), 2015 IEEE International
  • Type

    conf

  • DOI
    10.1109/TEST.2015.7342417
  • Filename
    7342417