AGNOSCO - Identification of Infected Nodes with artificial Ant Colonies

by: Michael Hilker, Christoph Schommer

(7 May 2008)

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arXiv (abstract), arXiv (PDF)

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Abstract

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.

@misc{citeulike:2773112, abstract = {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.}, author = {Hilker, Michael and Schommer, Christoph }, citeulike-article-id = {2773112}, eprint = {0805.0785}, keywords = {ants, artificial-immune-systems}, month = {May}, posted-at = {2008-05-15 19:19:09}, priority = {2}, title = {AGNOSCO - Identification of Infected Nodes with artificial Ant Colonies}, url = {http://arxiv.org/abs/0805.0785}, year = {2008} }

RIS record

TY - ELEC ID - citeulike:2773112 L3 - citeulike-article-id:2773112 TI - AGNOSCO - Identification of Infected Nodes with artificial Ant Colonies N2 - 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. KW - ants KW - artificial-immune-systems AU - Hilker, Michael AU - Schommer, Christoph PY - 2008/May/07/ UR - http://arxiv.org/abs/0805.0785 ER -

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