Application of Genetic Algorithm in Intrusion Detection System

Abstract

The existing NIDSs involve various mechanisms in order to identify the patterns related to the network problems. In this paper we described the implementation of genetic algorithm using steady-state selection mechanism. We have performed various test cases in order to analyze the effect of varying iterations and varying initial chrome length along with different fitness functions.

The analyzed result would be helpful to have quicker generation of reliable rule sets for Network Intrusion Detection System using less/more number of iterations, depending on the varying initial chrome length.

Keywords: Data Mining, Genetic Algorithm, Network Intrusion, Network Intrusion Detection System.