This is intrusion prevention system for botnet attacks, based on genetic algorithms

What is it about?

The intrusion detection systems based on anomalies detect Botnets, monitoring a number of network traffic anomalies such as high latency, high traffic volumes, traffic over unusual ports, etc., which could mean malicious bots in the network. This paper presents some aspects of the implementation of a host-based Botnet attack detection system. The system uses a technique to detect behavior anomalies, based on variation of genetic algorithm.The experimental results are shown.

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Why is it important?

One of the tools for implementing of Denial of Service attacks is Botnet. Detecting such attacks is important for the security of computer networks.

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