• DocumentCode
    3452111
  • Title

    An intelligent key related attack using NSGA II algorithm

  • Author

    Azimi, Mohammadreza ; Mirvaziri, Hamid ; Eftekhari, Mahdi ; Ebrahimimanesh, Asghar

  • Author_Institution
    Dept. of Comput. Eng., Shahid Bahonar Univ. of Kerman, Kerman, Iran
  • fYear
    2012
  • fDate
    2-3 May 2012
  • Firstpage
    161
  • Lastpage
    166
  • Abstract
    Growing in cyber attacks has driven a growth in demand for network security. Cryptology is the science of secret communication systems including cryptography and cryptanalysis. Different heuristic and meta heuristic algorithms has been used for cryptanalysis and certainly one of the most important one is GA. Usually N-gram and Dictionary attack are used to have a suitable fitness and best chromosomes which are time consuming and poor performance methods. In this paper a new method is proposed that not only improve performance of analysis but also it needs time not much as mentioned methods. NSGA-II (one of the most important multi-objective GAs) is used for better key evaluation and increasing the accuracy and performance. This analysis has been employed on a substitution cipher and some good results achieved.
  • Keywords
    cryptography; genetic algorithms; Dictionary attack; N-gram attack; NSGA II algorithm; chromosomes; cryptanalysis; cryptography; cryptology; cyber attack; genetic algorithm; intelligent key related attack; key evaluation; metaheuristic algorithm; multiobjective GA; network security; secret communication system; substitution cipher; Algorithm design and analysis; Biological cells; Dictionaries; Genetic algorithms; Sociology; Nsga-II; block cipher; cipher; cryptanalysis; genetic algorithm; substitution cipher;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Artificial Intelligence and Signal Processing (AISP), 2012 16th CSI International Symposium on
  • Conference_Location
    Shiraz, Fars
  • Print_ISBN
    978-1-4673-1478-7
  • Type

    conf

  • DOI
    10.1109/AISP.2012.6313737
  • Filename
    6313737