Kolmogorov complexity based automata modeling for intrusion detection

Granular Computing, 2005 IEEE International Conference(2005)

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摘要
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.
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关键词
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,Intrusion Detection Systems,Kolmogorov Complexity,Patterns,Randomness
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