• DocumentCode
    3737997
  • Title

    Classification of hardware trojan detection techniques

  • Author

    Samer Moein;Jayaram Subramnian;T. Aaron Gulliver;Fayez Gebali;M. Watheq El-Kharashi

  • Author_Institution
    Department of Electrical and Computer Engineering, University of Victoria, V8W 2Y2, Canada
  • fYear
    2015
  • Firstpage
    357
  • Lastpage
    362
  • Abstract
    The majority of techniques that have been developed to detect hardware trojans are based on only specific attributes. Further, the ad hoc approaches that have been employed to design methods for trojan detection are largely ineffective. These trojans have a number of attributes which can be used in a systematic way to develop detection techniques. Based on this concept, a detailed examination of current trojan detection techniques and the characteristics of existing hardware trojans is presented. This is used to develop a new approach to hardware trojan identification and classification.
  • Keywords
    "Trojan horses","Hardware","Testing","Integrated circuits","Delays","Power demand","Monitoring"
  • Publisher
    ieee
  • Conference_Titel
    Computer Engineering & Systems (ICCES), 2015 Tenth International Conference on
  • Type

    conf

  • DOI
    10.1109/ICCES.2015.7393075
  • Filename
    7393075