AGNOSCO - Identification of Infected Nodes with artificial Ant Colonies

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dc.creatorHilker, Michael
dc.creatorSchommer, Christoph
dc.date2008-05-06
dc.date2008-05-07
dc.date.accessioned2026-07-07T09:37:20Z
dc.date.available2026-07-07T09:37:20Z
dc.descriptionIf 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.
dc.description5 pages, 2 figures
dc.identifierhttps://arxiv.org/abs/0805.0785
dc.identifierhttp://arxiv.org/abs/0805.0785
dc.identifierProceedings of the 6th International Conference on Recent Advances in Soft Computing (RASC2006), July 2006, Canterbury, United Kingdom
dc.identifier.urihttp://salesiana.dossiersoluciones.com/handle/123456789/160424
dc.subjectArtificial Intelligence
dc.subjectMultiagent Systems
dc.subjectC.2.0
dc.titleAGNOSCO - Identification of Infected Nodes with artificial Ant Colonies
dc.typetext

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