Evolving features-algorithms knowledge map to support NIDS data intelligence and learning loop architecting – a generalised approach to NIDS pattern feature space knowledge processing

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Badii, A. and Patel, D. (2008) Evolving features-algorithms knowledge map to support NIDS data intelligence and learning loop architecting – a generalised approach to NIDS pattern feature space knowledge processing. In: European and Mediterranean conference on information systems 2008 (EMCIS 2008), Al Bostan Rotana, Dubai, UAE.

Abstract/Summary

This paper describes a proposed new approach to the Computer Network Security Intrusion Detection Systems (NIDS) application domain knowledge processing focused on a topic map technology-enabled representation of features of the threat pattern space as well as the knowledge of situated efficacy of alternative candidate algorithms for pattern recognition within the NIDS domain. Thus an integrative knowledge representation framework for virtualisation, data intelligence and learning loop architecting in the NIDS domain is described together with specific aspects of its deployment.

Additional Information Unrefereed late breaking paper. Not presented.
Item Type Conference or Workshop Item (Paper)
URI https://reading-clone.eprints-hosting.org/id/eprint/14573
Divisions Science > School of Mathematical, Physical and Computational Sciences > Department of Computer Science
Uncontrolled Keywords Feature Map, Topic Map, Intrusion Detection System, Pattern recognition, Feature extraction, Algorithm, Algorithm Map, Intrusion Detection System (IDS), Network Security
Additional Information Unrefereed late breaking paper. Not presented.
Publisher Brunel University
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