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Measuring inconsistency in a network intrusion detection rule set based on Snort. (English) Zbl 1234.68376

MSC:
68T37 Reasoning under uncertainty in the context of artificial intelligence
68T27 Logic in artificial intelligence
68T35 Theory of languages and software systems (knowledge-based systems, expert systems, etc.) for artificial intelligence
Software:
FIREMAN
Full Text: DOI
References:
[1] Kim B., International Journal of Computers 3 pp 45–
[2] Beg S., International Journal for Advances in Computer Science 1 pp 26–
[3] A. Hunter and S. Konieczny, Inconsistency Tolerance, LNCS 3300 (Springer, 2004) pp. 189–234.
[4] DOI: 10.1007/s10115-003-0125-6 · Zbl 02224685
[5] Mu K., Journal of Logic and Computation
[6] DOI: 10.1109/65.283931
[7] DOI: 10.1007/s10207-007-0045-7 · Zbl 05342751
[8] DOI: 10.1109/JSAC.2005.854119
[9] Ligȩza A., Logical Foundations for Rule-Based Systems (2006)
[10] DOI: 10.1111/j.1467-8640.1996.tb00275.x · Zbl 01939396
[11] DOI: 10.1007/s10115-006-0021-y
[12] DOI: 10.1016/j.ejor.2007.06.066 · Zbl 1176.90410
[13] DOI: 10.1016/j.artint.2010.06.001 · Zbl 1210.68106
This reference list is based on information provided by the publisher or from digital mathematics libraries. Its items are heuristically matched to zbMATH identifiers and may contain data conversion errors. It attempts to reflect the references listed in the original paper as accurately as possible without claiming the completeness or perfect precision of the matching.