Abstract

This paper aims to present a separated, optimized pattern database classification model, which may be subsequently applied to improve Network-based Intrusion Detection System (NIDS) efficiency. Using the model that classification basis is determined by examining the validity of a specific intrusion on a given specific target, NIDS is able to search only valid patterns in each captured packet of pattern database. In terms of performance and results, the NIDS resource requirement for pattern database searches is reduced and the NIDS is able to analyze more valid packets.

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