White Papers

A Feature Classification Scheme for Network Intrusion Detection

Overview One of the most important phases of the IDS/IPS implementation identifies the set of features that the system is going to use. This paper presents a feature classification schema for network intrusion detection intended to provide a better understanding regarding the features that can be extracted from network packets. Furthermore, it presents the design of a feature extractor that extracts and statistically analyzes features with respect to attacks. The experimental results, conducted on DARPA dataset, are intended to statistically highlight the importance of each proposed feature category, as well as to identify some of the most sensitive features to attacks.

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Publisher: University of New Brunswick
File Format: PDF
Date Published: Jun 18, 2008
Format: White Papers
Topics: Intrusion Detection Systems, Network Security, Security Tools

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