• DocumentCode
    1546844
  • Title

    Computational Intelligence Applied on Cryptology: a brief review

  • Author

    Danziger, M. ; Henriques, M. A A

  • Author_Institution
    Univ. Estadual de Campinas (UNICAMP), Campinas, Brazil
  • Volume
    10
  • Issue
    3
  • fYear
    2012
  • fDate
    4/1/2012 12:00:00 AM
  • Firstpage
    1798
  • Lastpage
    1810
  • Abstract
    Many cryptographic techniques have been developed and several were broken. Recently, new models have arisen with different and more complex approaches to cryptography and cryptanalysis, like those based on the Computational Intelligence (CI). Different bio-inspired techniques can be found in the literature showing their effectiveness in handling hard problems in the area of cryptology. However, some authors recognize that the advances have been slow and that more efforts are needed to take full advantage of CI techniques. In this work, we present a brief review of some of the relevant works in this area. The main objective is to better understand the advantages of applying CI on cryptology in the search for new ways of improving computer security.
  • Keywords
    artificial intelligence; cryptography; neural nets; CI technique; artificial neural network; bio-inspired technique; computational intelligence; computer security; cryptanalysis; cryptography; cryptology; Artificial neural networks; Encryption; Genetic algorithms; Robustness; Standards; Artificial Immune Systems; Artificial Neural Network; Cellular Automata; Computational Intelligence; Cryptography; Cryptology; DNA Computing; Evolutionary Computation;
  • fLanguage
    English
  • Journal_Title
    Latin America Transactions, IEEE (Revista IEEE America Latina)
  • Publisher
    ieee
  • ISSN
    1548-0992
  • Type

    jour

  • DOI
    10.1109/TLA.2012.6222587
  • Filename
    6222587