• DocumentCode
    412688
  • Title

    Pseudorandom number generators based on evolutionary algorithm

  • Author

    Zeng, Yong ; Ma, JianFeng

  • Author_Institution
    Minist. of Educ. Key Lab. of Comput. Networks & Inf. Security, Xidian Univ., Xian, China
  • Volume
    3
  • fYear
    2003
  • fDate
    8-12 Dec. 2003
  • Firstpage
    1662
  • Abstract
    A family of novel pseudorandom number generators is proposed based on an evolutionary algorithm. These pseudorandom number generators are expressed as EAPRNG. EAPRNGs are driven by some existed simple and unsafe generators which are denoted by mother generators (MG), while outputs of the MGs are hidden by EAPRNGs. The analysis indicates that EAPRNGs are resistant to many known attacks, and that they have good statistical properties, such as uniform probability distribution over GF (2l) and large periods.
  • Keywords
    cryptography; evolutionary computation; probability; random number generation; EAPRNG; GF (2l); evolutionary algorithm; mother generators; pseudorandom number generators; uniform probability distribution; Computer networks; Computer science education; Cryptography; Evolutionary computation; Information security; Laboratories; Partial response channels; Probability distribution; Radioactive decay; Random number generation;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Evolutionary Computation, 2003. CEC '03. The 2003 Congress on
  • Print_ISBN
    0-7803-7804-0
  • Type

    conf

  • DOI
    10.1109/CEC.2003.1299872
  • Filename
    1299872
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=412688