• DocumentCode
    2666059
  • Title

    Computability, Learnability and Breakability in Cryptanalysis

  • Author

    Yan, Song Y.

  • Author_Institution
    Dept. of Math., Harvard Univ., Cambridge, MA, USA
  • fYear
    2008
  • fDate
    10-12 Dec. 2008
  • Firstpage
    1274
  • Lastpage
    1281
  • Abstract
    Cryptanalysis, the science and art of breaking secret codes, is both a mathematically intensive and a computational intelligence intensive subject. In the past, code-breaking was purely a military or government task, and in fact, the main task of the US National Security Agency (NSA) is "to collect, process and disseminate foreign signal intelligence". The term "signal intelligence" here is interpreted as "encrypted messages". Surprisingly, with the advent of modern computers, particularly the Internet, cryptanalysis is no more just a military or government task, but also an important task in e.g., secure e-commerce, since all the valuable business information, such as the credit card information, needs to be encrypted before sending over the insecure Internet, and more importantly, these sensitive and encrypted information must be unbreakable on all known possible attacks. In this paper, from a cryptanalytic point of view, we study the computability, learnability and breakability in cryptanalysis, particularly in RSA public-key cryptanalysis, in a unified way.
  • Keywords
    Internet; computability; public key cryptography; RSA public-key cryptanalysis; breakability; code-breaking; computability; computational intelligence; credit card information; cryptanalysis; encrypted messages; learnability; signal intelligence; Art; Competitive intelligence; Computational intelligence; Credit cards; Cryptography; Internet; Military computing; National security; Signal processing; US Government;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computational Intelligence for Modelling Control & Automation, 2008 International Conference on
  • Conference_Location
    Vienna
  • Print_ISBN
    978-0-7695-3514-2
  • Type

    conf

  • DOI
    10.1109/CIMCA.2008.206
  • Filename
    5172809