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Soft computing tools to detect and characterize anomalous network behavior

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2 Author(s)
Garcia, R.C. ; Commun. Syst. Center, Georgia Inst. of Technol., Atlanta, GA, USA ; Copeland, J.A.

As part of a funded effort in network security, soft computing is used to create a system capable of detecting and characterizing anomalous network behavior. Soft computing is composed of evolutionary computational tools combined with artificial neural networks and/or fuzzy logic. Actual network traffic is used as opposed to simulated data. The benefits here are that the attacks are real and the use of the tool is in a “production” environment as opposed to being a product of purely simulated theoretical speculation

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Southeastcon 2000. Proceedings of the IEEE

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