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2004
Springer

SCIDS: A Soft Computing Intrusion Detection System

11 years 6 months ago
SCIDS: A Soft Computing Intrusion Detection System
An Intrusion Detection System (IDS) is a program that analyzes what happens or has happened during an execution and tries to find indications that the computer has been misused. This paper evaluates three fuzzy rule based classifiers for IDS and the performance is compared with decision trees, support vector machines and linear genetic programming. Further, Soft Computing (SC) based IDS (SCIDS) is modeled as an ensemble of different classifiers to build light weight and more accurate (heavy weight) IDS. Empirical results clearly show that SC approach could play a major role for intrusion detection.
Ajith Abraham, Ravi Jain, Sugata Sanyal, Sang-Yong
Added 02 Jul 2010
Updated 02 Jul 2010
Type Conference
Year 2004
Where IWDC
Authors Ajith Abraham, Ravi Jain, Sugata Sanyal, Sang-Yong Han
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