Security

Evolutionary Approach for Network Anomaly Detection Using Effective Classification

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Executive Summary

Intrusion Detection Systems (IDS) have become a necessary component of the computer and information security framework. Due to the increase in unauthorized access and stealing of internet resources, internet security has become a very significant issue. Network anomalies in particular can cause many potential problems. This work discusses about the ways of implementing Evolutionary Approach for Network based Anomaly Detection Systems using Effective Classification. It involves characterizing the network traffic and detecting intrusion through observation of deviation from normal behavior patterns.

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