A Genetic Algorithm Based elucidation for improving Intrusion Detection through condensed feature set by KDD 99 data set

S. Selvakani Kandeeban, R.S. Rajesh


An Intrusion detection system's main aim is to identify the normal and intrusive activities. The objective of this paper is to incorporate Genetic algorithm with reduced feature set into the system to detect and classify intrusions from normal. The experiments and evaluations of the proposed method were done using KDD cup 99 data set. The Genetic algorithm is used to derive a set of rules from the reduced training data set, and the fitness function is employed to judge the quality of rules.

Keywords: Genetic Algorithm, Detection Rate, Intrusion Detection System, Reduced Feature Set, KDD 99 data set.

Full Text: PDF
Download the IISTE publication guideline!

To list your conference here. Please contact the administrator of this platform.

Paper submission email: IKM@iiste.org

ISSN (Paper)2224-5758 ISSN (Online)2224-896X

Please add our address "contact@iiste.org" into your email contact list.

This journal follows ISO 9001 management standard and licensed under a Creative Commons Attribution 3.0 License.

Copyright © www.iiste.org