AGNOSCO - Identification of Infected Nodes with artificial Ant Colonies

Details AGNOSCO - Identification of Infected Nodes with artificial Ant Colonies AGNOSCO - Identification of Infected Nodes with artificial Ant Colonies

2008-05-06

arxiv.org/abs/0805.0785v2

Proceedings of the 6th International Conference on Recent Advances in Soft Computing (RASC2006), July 2006, Canterbury, United

Computer Science

Artificial Intelligence

5 pages, 2 figures

Scientific paper

If a computer node is infected by a virus, worm or a backdoor, then this is a security risk for the complete network structure where the node is associated. Existing Network Intrusion Detection Systems (NIDS) provide a certain amount of support for the identification of such infected nodes but suffer from the need of plenty of communication and computational power. In this article, we present a novel approach called AGNOSCO to support the identification of infected nodes through the usage of artificial ant colonies. It is shown that AGNOSCO overcomes the communication and computational power problem while identifying infected nodes properly.

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