• DocumentCode
    2169220
  • Title

    Research on the data collection in chip reverse analysis

  • Author

    Li, Qingbao ; Zhou, Li ; Zeng, Guangyu ; Zhao, Yan ; Fan, Min

  • Author_Institution
    Dept. of Comput. Sci., Zhengzhou Inst. of Inf., Zhengzhou, China
  • Volume
    1
  • fYear
    2010
  • fDate
    26-28 Feb. 2010
  • Firstpage
    206
  • Lastpage
    209
  • Abstract
    Reverse analysis of chip is developed basing on the need of discovering design defection and eliminating hardware security vulnerability, automatic testing and diagnosis of electronic equipments. Nowadays it is the main direction of information security study as well. The data collection which is the key part of the chip reverse analysis is studied in this paper. The completeness of data collection determines whether the reverse analysis result is correct. To collecting the complete data set, a measurable sequential logic circuit model is proposed based on the external characteristics analysis of combinational and sequential logic circuit and an abstract description of data collection algorithm is given.
  • Keywords
    combinational circuits; integrated circuit reliability; integrated circuit testing; sequential circuits; automatic testing; chip reverse analysis; data collection algorithm; design defection; electronic equipments diagnosis; hardware security vulnerability elimination; measurable sequential logic circuit model; Circuit analysis; Combinational circuits; Computer science; Cryptography; Electronic equipment; Information analysis; Information science; Information security; Logic circuits; Sequential circuits; Data collection; Logic circuit; Measurable sequential logic circuit model; Reverse analysis;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computer and Automation Engineering (ICCAE), 2010 The 2nd International Conference on
  • Conference_Location
    Singapore
  • Print_ISBN
    978-1-4244-5585-0
  • Electronic_ISBN
    978-1-4244-5586-7
  • Type

    conf

  • DOI
    10.1109/ICCAE.2010.5451968
  • Filename
    5451968