• DocumentCode
    2654119
  • Title

    A weighted statistical analysis of DPA attack on an ASIC AES implementation

  • Author

    Qian, Guoyu ; Zhou, Ying ; Xing, Yueying ; Fan, Yibo ; Tsunoo, Yukiyasu ; Goto, Satoshi

  • Author_Institution
    IPS, Waseda Univ., Kitakyushu, Japan
  • fYear
    2009
  • fDate
    20-23 Oct. 2009
  • Firstpage
    906
  • Lastpage
    909
  • Abstract
    Research on Differential Power Analysis (DPA) is becoming more and more popular nowadays. Against different hardware, DPA attack will lead to different results, e.g. attack on FPGA is easy but on ASIC is relatively difficult. However, how could we draw the conclusion that we finish a successful attack? How to build the connection between result data and successful rate is a meaningful topic. Same data with different statistical processing method will lead to different results. In this paper, we focus on DPA attack against an ASIC implementation. We analyzed two current statistical methods, pointed out the limitations. Then, we proposed a weighted statistical analysis method. According to number of traces and repetitions, we adjust the weight value. Finally, we improved the accuracy and efficiency of DPA attack on ASIC by reducing the number of traces used in attack.
  • Keywords
    application specific integrated circuits; cryptography; field programmable gate arrays; integrated circuit testing; statistical analysis; ASIC; DPA; FPGA; advanced encryption standard; differential power analysis; weighted statistical analysis; Algorithm design and analysis; Application specific integrated circuits; Cryptography; Energy consumption; Field programmable gate arrays; Hardware; NIST; National electric code; Power measurement; Statistical analysis; AES; ASIC; Differential Power Analysis; Repetition Number Weight; Trace Number Weight;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    ASIC, 2009. ASICON '09. IEEE 8th International Conference on
  • Conference_Location
    Changsha, Hunan
  • Print_ISBN
    978-1-4244-3868-6
  • Electronic_ISBN
    978-1-4244-3870-9
  • Type

    conf

  • DOI
    10.1109/ASICON.2009.5351546
  • Filename
    5351546