A User-centric Intrusion Detection System by Using Ontology Approach
Shao-Shin Hung 0, Damon Shing-Min Liu
0CSIE of National Chung Cheng University
Available Online October 2006.
- https://doi.org/10.2991/jcis.2006.118How to use a DOI?
- Ontology, intrusion detection, security
- 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.
- 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 -