DocumentCode
579165
Title
An ontology-based system to identify complex network attacks
Author
Frye, Lisa ; Cheng, Liang ; Heflin, Jeff
Author_Institution
Comput. Sci. Dept., Kutztown Univ., Kutztown, PA, USA
fYear
2012
fDate
10-15 June 2012
Firstpage
6683
Lastpage
6688
Abstract
Intrusion Detection Systems are tools used to detect attacks against networks. Many of these attacks are a sequence of multiple simple attacks. These complex attacks are more difficult to identify because (a) they are difficult to predict, (b) almost anything could be an attack, and (c) there are a huge number of possibilities. The problem is that the expertise of what constitutes an attack lies in the tacit knowledge of experienced network engineers. By providing an ontological representation of what constitutes a network attack human expertise to be codified and tested. The details of this representation are explained. An implementation of the representation has been developed. Lastly, the use of the representation in an Intrusion Detection System for complex attack detection has been demonstrated using use cases.
Keywords
computer network security; ontologies (artificial intelligence); complex attack detection; human expertise; identify complex network attacks; intrusion detection systems; multiple simple attacks; network engineers; ontology-based system; Availability; IP networks; Intrusion detection; OWL; Ontologies; Telecommunication traffic; Computer network security; Intrusion Detection System; Ontology;
fLanguage
English
Publisher
ieee
Conference_Titel
Communications (ICC), 2012 IEEE International Conference on
Conference_Location
Ottawa, ON
ISSN
1550-3607
Print_ISBN
978-1-4577-2052-9
Electronic_ISBN
1550-3607
Type
conf
DOI
10.1109/ICC.2012.6364689
Filename
6364689
Link To Document