• DocumentCode
    517638
  • Title

    The block cipher for construction of S-boxes based on particle swarm optimization

  • Author

    Xiangyang, Xu

  • Author_Institution
    Dept. of Comput. Sci. & Technol., Changsha Univ., Changsha, China
  • Volume
    1
  • fYear
    2010
  • fDate
    30-31 May 2010
  • Firstpage
    612
  • Lastpage
    615
  • Abstract
    S-boxes block cipher is the only non-linear components, and its password strength decides the security of the entire block cipher strength. It is very difficult and complex to use the traditional methods of mathematical to construct the S-boxes with good performance. This thesis will put on a new construction of the s-boxes method based on the particle swarm optimization (PSO). This algorithm defines the location of the two particles “addition” operator, replacement of the original speed equation in order to achieve the exchange of information between particles, and the addition of a mutation operator to maintain the population diversity to prevent premature convergence. The experimental results show that it is plausible to use POS to get a group of S-boxes with high non-linearity and low evenness in difference. This structure can effectively reduce the redundant computation to accelerate the convergence speed.
  • Keywords
    cryptography; particle swarm optimisation; S-boxes; block cipher; convergence speed; information exchange; mutation operator; nonlinear component; particle swarm optimization; password strength; population diversity; premature convergence; security; speed equation; Ant colony optimization; Artificial intelligence; Computer science; Computer security; Convergence; Cryptography; Genetic algorithms; Genetic mutations; Nonlinear equations; Particle swarm optimization; S-boxes; block cipher; component; particle swarm optimization; structural criteria;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Networking and Digital Society (ICNDS), 2010 2nd International Conference on
  • Conference_Location
    Wenzhou
  • Print_ISBN
    978-1-4244-5162-3
  • Type

    conf

  • DOI
    10.1109/ICNDS.2010.5479283
  • Filename
    5479283