Feature Ranking in Intrusion Detection Dataset Using Combination of Filtering Methods

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Provided by: International Journal of Computer Applications
Topic: Security
Format: PDF
Intrusion detection is a crucial part for security of information systems. Most intrusion detection systems use all features in their databases while some of these features may be irrelevant or redundant and they do not contribute to the process of intrusion detection. Therefore, different feature ranking and feature selection techniques are proposed. In this paper, hybrid feature selection methods are used to select and rank reliable features and eliminate irrelevant and useless features to have a more accurate and reliable intrusion detection process.
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