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
Link To Document :
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