MEASURING INCONSISTENCY IN A NETWORK INTRUSION DETECTION RULE SET BASED ON SNORT

DOI10.1142/S1793351X11001274zbMath1234.68376OpenAlexW2101275540MaRDI QIDQ3225382

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Publication date: 19 March 2012

Published in: International Journal of Semantic Computing (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1142/s1793351x11001274

zbMATH Keywords

inconsistency measuresnetwork intrusion detectionSnort rules

Mathematics Subject Classification ID

Logic in artificial intelligence (68T27) Reasoning under uncertainty in the context of artificial intelligence (68T37) Theory of languages and software systems (knowledge-based systems, expert systems, etc.) for artificial intelligence (68T35)

Related Items (10)

On an MCS-based inconsistency measure ⋮ On Measuring Inconsistency Using Maximal Consistent Sets ⋮ Measuring inconsistency with constraints for propositional knowledge bases ⋮ Quantifying conflicts in propositional logic through prime implicates ⋮ Responsibility for inconsistency ⋮ Semantic inconsistency measures using 3-valued logics ⋮ Computational approaches to finding and measuring inconsistency in arbitrary knowledge bases ⋮ On the measure of conflicts: an argumentation-based framework ⋮ Relative inconsistency measures ⋮ Approaches to measuring inconsistency for stratified knowledge bases

Uses Software

• FIREMAN

Cites Work

• On the measure of conflicts: Shapley inconsistency values
• Using local search to find MSSes and MUSes

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