Improving network intrusion detection through soft computing and natural immunology

Authors:
Seyed A. Shahrestani
Affiliations:
School of Computing and Mathematics, University of Western Sydney, Penrith South DC, NSW, AUSTRALIA
Venue:
ACS'08 Proceedings of the 8th conference on Applied computer scince
Year:
2008

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Abstract

While it is critical to have the mechanisms capable of preventing security violations, for most modern massively interconnected networks, complete prevention of security breaches is not practical. Intrusion detection can be regarded as an alternative, or as a compromise to this situation. This paper discusses the shortcomings of some of the more traditional approaches used in intrusion detection systems. An alternative view that may provide better security systems, based on adopting the design principles from the natural immune systems, is also presented. The advantages of approximate reasoning and soft computing to provide tolerance to imprecision are also considered.