• Mar 26, 2024 News!Vol.16, No. 1 has been published with online version.   [Click]
  • Jan 02, 2024 News!All papers in IJET will be publihsed article by article staring from 2024.
  • Nov 03, 2023 News!News | Vol.15, No. 4 has been published with online version.   [Click]
General Information
    • ISSN: 1793-8236 (Online)
    • Abbreviated Title Int. J. Eng. Technol.
    • Frequency:  Quarterly 
    • DOI: 10.7763/IJET
    • Managing Editor: Ms. Jennifer Zeng
    • Abstracting/ Indexing: Inspec (IET), CNKI Google Scholar, EBSCO, ProQuest, Crossref, etc.
    • E-mail: ijet_Editor@126.com
IJET 2009 Vol.1(1): 45-49 ISSN: 1793-8236
DOI: 10.7763/IJET.2009.V1.8

Desegregated ID Execution Using Genetic Algorithm

Selvakani S. Kandeeban and R.S. Rajesh

Abstract—Intrusion Detection systems are increasingly a key part of system defense.  Various approaches to Intrusion Detection are currently being used but they are relatively ineffective.  Among the several soft computing paradigms, we investigated genetic algorithms and neural networks to model fast and efficient Intrusion Detection Systems.  With the feature selection process proposed it is possible to reduce the number of input features significantly which is very important due to the fact that the RBF networks can effectively be prevented from over fitting.  The Genetic algorithm employs only the eight most relevant features for each attack category for rule generation.  The generated rules signal an attack as well as its category and it is end for training to RBF network.  The optimal subset of features combined with the generated rules, can be used to analyze the attacks.  Empirical results clearly show that soft computing approach could play a major role for intrusion detection.  The model was verified on KDD99 demonstrating higher detection rates than those reported by the state of art while maintaining low false positive rate.

Index Terms—A Genetic algorithms, Information gain, Mutual Information, Radial Basis Function Networks.

S. Selvakani is with the Department of Computer Applications, Jaya Engineering College, Chennai, Tamilnadu, India. ( Phone: 91-95530956; e-mail:sselvakani@hotmail.com).
R.S. Rajesh is with Manonmanium Sundaranar University, Department of Computer Science and Engineering, Tirunelveli, Tamilnadu, India. (e-mail: rs_rajesh@yahoo.co.in)


Cite: Selvakani S. Kandeeban, R.S. Rajesh, "Desegregated ID Execution using Genetic Algorithm,International
Journal of
Engineering and Technology
vol. 1, no. 1, pp. 45-49, 2009.

Copyright 2008-2010. International Journal of Engineering and Technology (IJET)

Copyright © 2008-2024. International Journal of Engineering and Technology. All rights reserved. 
E-mail: ijet_Editor@126.com