• DocumentCode
    1846070
  • Title

    Enhanced Correlation Power Analysis Attack on Smart Card

  • Author

    Li, Huiyun ; Wu, Keke ; Peng, Bo ; Zhang, Yiwei ; Zheng, Xinjian ; Yu, Fengqi

  • Author_Institution
    Shenzhen Inst. of Adv. Technol., Chinese Univ. of Hong Kong, Hong Kong
  • fYear
    2008
  • fDate
    18-21 Nov. 2008
  • Firstpage
    2143
  • Lastpage
    2148
  • Abstract
    Power analysis attack has been widely used against cryptographic devices such as smart cards. Compared to the origin differential power analysis (DPA) attack, the later developed correlation power analysis (CPA) is advantageous due to its robustness and efficiency. However, the existing CPA power models are defective in principle as they are either based on a power model using Hamming weight or simplified Hamming distance, both are much deviated from the CMOS circuit power consumption theory. This paper presents an improved power model based on probability distribution of Hamming distance. The experiment of CPA analysis on a smart card chip demonstrates that the proposed model can achieve 10% better results compared to existing models.
  • Keywords
    CMOS integrated circuits; cryptography; low-power electronics; smart cards; statistical distributions; CMOS circuit power consumption theory; Hamming distance; Hamming weight; correlation power analysis attack; cryptographic device; differential power analysis attack; probability distribution; smart card; Cryptography; Electronic circuits; Energy consumption; Hamming distance; Hamming weight; Performance analysis; Probability distribution; Robustness; Semiconductor device modeling; Smart cards; CPA; DPA; Hamming distance; Hamming weight; power model;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Young Computer Scientists, 2008. ICYCS 2008. The 9th International Conference for
  • Conference_Location
    Hunan
  • Print_ISBN
    978-0-7695-3398-8
  • Electronic_ISBN
    978-0-7695-3398-8
  • Type

    conf

  • DOI
    10.1109/ICYCS.2008.230
  • Filename
    4709305