Hybrid Feature Selection Algorithm for Intrusion Detection System

Provided by: Science Productions
Topic: Security
Format: PDF
Network security is a serious global concern. Usefulness Intrusion Detection Systems (IDS) are increasing incredibly in information security research using soft computing techniques. In the previous researches having irrelevant and redundant features are recognized causes of increasing the processing speed of evaluating the known intrusive patterns. In addition, an efficient feature selection method eliminates dimension of data and reduce redundancy and ambiguity caused by none important attributes. Therefore, feature selection methods are well-known methods to overcome this problem.

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