Towards an Intelligent Intrusion Detection System based on SOM Architectures

With the growth of computer networks in the recent years, security has become a crucial aspect in modern computer systems. An adequate way to detect systems misuse is based on monitoring users’ activities and network traffic. Several intrusion detection methods have been proposed but they result in an expensive implementation and doubtful yield.

In this paper, it is analyzed an approach based on the application of non-supervised auto-organizing artificial neural networks to improve the performance of real-time intrusion detection systems.

Abgabe: 08.07.2005

Betreuer: Dipl.-Inform. Ingo Boersch

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