Audit file reduction using n-gram models

Authors:
Fernando Godínez;Dieter Hutter;Raúl Monroy
Affiliations:
Centre for Intelligent Systems, ITESM–Monterrey, Monterrey, Mexico;DFKI, Saarbrücken University, Saarbrücken, Germany;Department of Computer Science, ITESM–Estado de México, Estado de México, Mexico
Venue:
FC'05 Proceedings of the 9th international conference on Financial Cryptography and Data Security
Year:
2005

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Abstract

While some accurate, current Intrusion Detection Systems (IDS’s) get rapidly overwhelmed with contemporary information workload [1,2]. This problem partly dwells in the number of repetitive spurious information that IDS’s unnecessarily analyse. Using this observation, we propose a methodology which can be used to significantly remove such spurious information and thus alleviate intrusion detection.