• DocumentCode
    2620178
  • Title

    Kolmogorov complexity based automata modeling for intrusion detection

  • Author

    Baliga, Priya ; Lin, T.Y.

  • Author_Institution
    Dept. of Comput. Sci., San Jose State Univ., CA, USA
  • Volume
    2
  • fYear
    2005
  • fDate
    25-27 July 2005
  • Firstpage
    387
  • Abstract
    According to Kolmogorov complexity, a string is considered patternless if the shortest Turing machine that can encode it is at least as long as the string itself. Conversely, a non-random string with patterns can be described by some Turing machine that is shorter than the string. Hence, special forms of Turing machines - such as functions, N-grams, finite automata and stochastic automata - can all be regarded as representations of some approximations of patterns. Based on these observations, system profiles are defined for anomaly-based intrusion detection systems. The results are encouraging.
  • Keywords
    Turing machines; computational complexity; finite automata; functions; security of data; stochastic automata; Kolmogorov complexity; Turing machine; anomaly-based intrusion detection; automata modeling; finite automata; nonrandom string; stochastic automata; Automata; Complexity theory; Computer languages; Computer science; Information theory; Intrusion detection; Size measurement; Stochastic processes; Turing machines; Turning; Intrusion Detection Systems; Kolmogorov Complexity; Patterns; Randomness;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Granular Computing, 2005 IEEE International Conference on
  • Print_ISBN
    0-7803-9017-2
  • Type

    conf

  • DOI
    10.1109/GRC.2005.1547318
  • Filename
    1547318