2006 International Conference on Computational Intelligence and Security, 2006
This paper presents a genetic algorithm (GA) for generating efficient rules for cost-sensitive mi... more This paper presents a genetic algorithm (GA) for generating efficient rules for cost-sensitive misuse detection in intrusion detection systems. The GA employs only the five most relevant features for each attack category for rule generation. Furthermore, it incorporates the different costs of misclassifying attacks in itsfitnessfunction to yield rules that are cost sensitive. The generated rules signal an attack as well as its category. The GA is implemented and evaluated on the KDDCup 99 dataset. Its detection performance is comparable to the winners of the KDDCup 99 competition. However, the rules generated by our GA are short and amenablefor real time misuse detection.
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Papers by Saqib Ashfaq