Using Adaptive Mutation in a GA Based Intrusion Detection

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Provided by: International Journal of Computer Applications
Topic: Security
Format: PDF
In this paper, the authors use 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.
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