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Using Adaptive Mutation in a GA based Intrusion Detection

by S. N. Pawar, R. S. Bichkar
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 73 - Number 3
Year of Publication: 2013
Authors: S. N. Pawar, R. S. Bichkar
10.5120/12724-9561

S. N. Pawar, R. S. Bichkar . Using Adaptive Mutation in a GA based Intrusion Detection. International Journal of Computer Applications. 73, 3 ( July 2013), 39-43. DOI=10.5120/12724-9561

@article{ 10.5120/12724-9561,
author = { S. N. Pawar, R. S. Bichkar },
title = { Using Adaptive Mutation in a GA based Intrusion Detection },
journal = { International Journal of Computer Applications },
issue_date = { July 2013 },
volume = { 73 },
number = { 3 },
month = { July },
year = { 2013 },
issn = { 0975-8887 },
pages = { 39-43 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume73/number3/12724-9561/ },
doi = { 10.5120/12724-9561 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T21:39:06.829328+05:30
%A S. N. Pawar
%A R. S. Bichkar
%T Using Adaptive Mutation in a GA based Intrusion Detection
%J International Journal of Computer Applications
%@ 0975-8887
%V 73
%N 3
%P 39-43
%D 2013
%I Foundation of Computer Science (FCS), NY, USA
Abstract

This paper uses a GA-based approach for intrusion detection and uses an adaptive mutation to improve its performance. The drawback of conventional GA is its randomness of mutation which is applied to all the chromosomes irrespective of their fitness. Thus a very good chromosome is equally likely to be disrupted by mutation as a bad one. On the other hand bad chromosomes are less likely to produce good ones through crossover if they are not changed. Hence, it is proposed to use fitness proportionate adaptive mutation in a GA based intrusion detection. This adaptive mutation function does not change the fittest chromosome and causes a change in the low fit chromosomes. This causes the genetic algorithm to arrive at better solution. Experimental results show that this technique improves the fitness of the classification rules and in turn increases the intrusion detection rate.

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Index Terms

Computer Science
Information Sciences

Keywords

Genetic Algorithms Intrusion detection Adaptive mutation

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