Proceedings of the 9th Joint International Conference on Information Sciences (JCIS-06)

A User-centric Intrusion Detection System by Using Ontology Approach

Authors
Shao-Shin Hung 0, Damon Shing-Min Liu
Corresponding Author
Shao-Shin Hung
0CSIE of National Chung Cheng University
Available Online October 2006.
DOI
https://doi.org/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.
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Proceedings
9th Joint International Conference on Information Sciences (JCIS-06)
Part of series
Advances in Intelligent Systems Research
Publication Date
October 2006
ISBN
978-90-78677-01-7
ISSN
1951-6851
DOI
https://doi.org/10.2991/jcis.2006.118How to use a DOI?
Open Access
This is an open access article distributed under the CC BY-NC license.

Cite this article

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  - 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  - https://doi.org/10.2991/jcis.2006.118
ID  - Hung2006/10
ER  -