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, suppo...

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Bibliographic Details
Published inDistributed Computing - IWDC 2004 pp. 252 - 257
Main Authors Abraham, Ajith, Jain, Ravi, Sanyal, Sugata, Han, Sang Yong
Format Book Chapter
LanguageEnglish
Published Berlin, Heidelberg Springer Berlin Heidelberg 01.01.2004
SeriesLecture Notes in Computer Science
Online AccessGet full text
ISBN9783540240761
3540240764
ISSN0302-9743
1611-3349
DOI10.1007/978-3-540-30536-1_29

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Summary: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.
ISBN:9783540240761
3540240764
ISSN:0302-9743
1611-3349
DOI:10.1007/978-3-540-30536-1_29