Feature Selection Using a Genetic Algorithm for Intrusion Detection

We show the use of a genetic algorithm for feature subset selection over feature vectors that describe the system calls executed by privileged processes. Genetic feature subset selection significantly reduces the number of features used without adversely affecting the accuracy of the predictions.

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