Integrating Genetic Algorithms and Fuzzy c-Means for Anomaly Detection

Abstract

The goal of intrusion detection is to discover unauthorized use of computer systems. New intrusion types, of which detection systems are unaware, are the most difficult to detect. The amount of available network audit data instances is usually large; human labeling is tedious, time-consuming, and expensive. Traditional anomaly detection algorithms require a… (More)

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