• DocumentCode
    1736445
  • Title

    A randomized binary modular exponentiation based RSA algorithm against the comparative power analysis

  • Author

    Yin, Xucheng ; Wu, Keke ; Li, Huiyun ; Xu, Guoqing

  • Author_Institution
    Chinese Univ. of Hong Kong, Hong Kong, China
  • fYear
    2012
  • Firstpage
    160
  • Lastpage
    165
  • Abstract
    In this paper, we propose a binary modular exponentiation RSA countermeasure in order to defend against the comparative power analysis by dividing the private key e into n random parts and randomly choosing one of the parts to do one unit operation each selection till the modular exponentiation of all parts are completed. When the bit length of the private key computed actually is less than 4/3 of the original bit length of the private key, our method is more efficient and has more probability to against the exhaustive attack than the squaring-and-multiply-always right-to-left binary method which was previously considered to be the only effective binary method against the comparative power analysis. Further, the efficiency and security of our algorithm can be improved even more by adopting the parallel computing architecture.
  • Keywords
    private key cryptography; probability; public key cryptography; RSA algorithm; binary modular exponentiation RSA countermeasure; bit length; comparative power analysis; parallel computing architecture; private key cryptography; probability; randomized binary modular exponentiation method; squaring-and-multiply-always right-to-left binary method; Algorithm design and analysis; Complexity theory; Computational efficiency; Cryptography; Parallel architectures; Standards; RSA; comparative power analysis; parallel computing; randomized exponentiation algorithm; side-channel analysis;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Intelligent Control, Automatic Detection and High-End Equipment (ICADE), 2012 IEEE International Conference on
  • Conference_Location
    Beijing
  • Print_ISBN
    978-1-4673-1331-5
  • Type

    conf

  • DOI
    10.1109/ICADE.2012.6330119
  • Filename
    6330119