A User-centric Intrusion Detection System by Using Ontology Approach

DOI

10.2991/jcis.2006.118How to use a DOI?

Keywords

Ontology, intrusion detection, security

Abstract

In the security infrastructure, intrusion detection has become an indispensable defense line in face of increasing vulnerabilities exposed in today’s computing systems and Internet. In this paper, our approach uses ontologies as a way of grasping the knowledge of a domain, expressing the intrusion detection system much more in terms of the end users domain, generating the intrusion detection more easily and performing intelligent reasoning. Experimental results show that our anomaly detection techniques are very promising and are successful in automatically detecting intrusions at very low false alarm rate compared with several important traditional classification techniques.

Copyright

© 2006, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - CONF
AU  - Shao-Shin Hung
AU  - Damon Shing-Min Liu
PY  - 2006/10
DA  - 2006/10
TI  - A User-centric Intrusion Detection System by Using Ontology Approach
BT  - Proceedings of the 9th Joint International Conference on Information Sciences (JCIS-06)
PB  - Atlantis Press
SN  - 1951-6851
UR  - https://doi.org/10.2991/jcis.2006.118
DO  - 10.2991/jcis.2006.118
ID  - Hung2006/10
ER  -