• DocumentCode
    3579355
  • Title

    Evolutionary genetic algorithm for encryption

  • Author

    Alsharafat, Wafa´ Slaibi

  • Author_Institution
    Prince Hussein Bin Abdullah Faculty of Information Technology, Information Systems Department, Al al-Bayt University Mafraq, Jordan
  • fYear
    2014
  • Firstpage
    1
  • Lastpage
    4
  • Abstract
    Encryption is a fundamental mechanism for protecting information since the significant of security is increasing nowadays. Different evolutionary methods have been adapted to satisfy high level of security. Genetic algorithm is an exploration and evolutionary algorithm which based on natural selection which optimizing problem solution and to be away from producing one ciphertext for the same plaintext. Therefore, the attempts of attack, as ciphertext attack, will be reduced if not eliminated. In this paper, GA as evolutionary algorithm will be employed in a symmetric encryption and decryption where the user´s message which represents plaintext and user secret data, key, will be transferred into ciphertext by applying crossover and mutation beside substitution function.
  • Keywords
    Artificial neural networks; Encryption; Evolutionary computation; Fuzzy logic; Genetic algorithms; Decryption; Encryption; GA;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computational Intelligence and Computing Research (ICCIC), 2014 IEEE International Conference on
  • Print_ISBN
    978-1-4799-3974-9
  • Type

    conf

  • DOI
    10.1109/ICCIC.2014.7238559
  • Filename
    7238559