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A Genetic Algorithm Based elucidation for improving Intrusion Detection through condensed feature set by KDD 99 data set

机译:基于遗传算法的阐明,通过利用KDD 99数据集的压缩特征集来改进入侵检测

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摘要

An Intrusion detection system's main aim is to identify the normal and intrusive activities. The objective of this paper is to incorporate Genetic algorithm with reduced feature set into the system to detect and classify intrusions from normal. The experiments and evaluations of the proposed method were done using KDD cup 99 data set. The Genetic algorithm is used to derive a set of rules from the reduced training data set, and the fitness function is employed to judge the quality of rules.
机译:入侵检测系统的主要目的是识别正常活动和入侵活动。本文的目的是将具有简化特征集的遗传算法集成到系统中,以检测和分类来自正常的入侵。使用KDD cup 99数据集对提出的方法进行了实验和评估。遗传算法用于从简化的训练数据集中导出一组规则,而适应度函数用于判断规则的质量。

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