• DocumentCode
    2481961
  • Title

    An improved algorithm for fast correlation attack on stream ciphers

  • Author

    Chen Wanzhi

  • Author_Institution
    Comput. Dept., Liaoning Tech. Univ., Huludao
  • fYear
    2008
  • fDate
    25-27 June 2008
  • Firstpage
    2126
  • Lastpage
    2129
  • Abstract
    Fast correlation attack on binary linear feedback shift registers (LFSR) in stream generators for stream ciphers applications are very paramount cryptanalytic techniques which are based on the idea from iterative probabilistic decoding procedures for binary symmetric channels (BSC). This paper presents an efficient correlation attack on stream ciphers, which is equivalent to solve the problem of recovering the LFSRpsilas initial state (u1, u2,hellip,un) from the observed output sequence z. I consider the problem as a decoding problem for a linear [N,L] code. In order to enhance the speed of correlation attack, the Walsh transform is used, in addition, I adopt the multi-thread method to deal with the parity checks. The novel scheme provides better performance and lower complicity, improves the efficiency of fast correlation attack.
  • Keywords
    Walsh functions; cryptography; iterative decoding; parity check codes; shift registers; Walsh transform; binary linear feedback shift registers; binary symmetric channels; cryptanalytic techniques; fast correlation attack; iterative probabilistic decoding procedures; multi-thread method; parity checks; stream ciphers; stream generators; Application software; Automation; Block codes; Cryptography; Educational institutions; Intelligent control; Iterative algorithms; Iterative decoding; Linear feedback shift registers; Parity check codes; cryptanalysis; fast correlation attack; linear feedback shift registers; parity checks; stream ciphers;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Intelligent Control and Automation, 2008. WCICA 2008. 7th World Congress on
  • Conference_Location
    Chongqing
  • Print_ISBN
    978-1-4244-2113-8
  • Electronic_ISBN
    978-1-4244-2114-5
  • Type

    conf

  • DOI
    10.1109/WCICA.2008.4593252
  • Filename
    4593252