• DocumentCode
    3002484
  • Title

    A new method of Evolving Boolean Function based on gene expression programming

  • Author

    Li, Kangshun ; Xie, Yang ; Zhang, Wensheng ; Wang, Feng

  • Author_Institution
    Sch. of Inf. Eng., Jiangxi Univ. of Sci. & Technol., Ganzhou
  • fYear
    2008
  • fDate
    1-3 Sept. 2008
  • Firstpage
    2629
  • Lastpage
    2632
  • Abstract
    Evolutionary encryption is a new focus in recent research work. The new method of design encryption is to combine evolution algorithm with encryption designing. Boolean function is very import in encryption. The traditional method of optimizing Boolean function is algebra method which is slow and difficult. We propose an optimization algorithm for the Boolean function based on GEP. Comparing to the other methods, the method is not only fast but also the Boolean function found is very well even the dimension is high.
  • Keywords
    Boolean functions; cryptography; genetic algorithms; Boolean function optimization; evolutionary encryption; gene expression programming; Algorithm design and analysis; Automation; Boolean functions; Cryptography; Electronic mail; Functional programming; Gene expression; Optimization methods; Security; Sequences; Boolean function; Gene Expression Programming; evolutionary encryption;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Automation and Logistics, 2008. ICAL 2008. IEEE International Conference on
  • Conference_Location
    Qingdao
  • Print_ISBN
    978-1-4244-2502-0
  • Electronic_ISBN
    978-1-4244-2503-7
  • Type

    conf

  • DOI
    10.1109/ICAL.2008.4636616
  • Filename
    4636616