Context and semantics for detection of cyber attacks
by Ahmed Aleroud; George Karabatis; Prayank Sharma; Peng He
International Journal of Information and Computer Security (IJICS), Vol. 6, No. 1, 2014

Abstract: This paper presents a novel layered cyber-attack detection approach utilising: 1) semantic relationships between attacks to infer possible related suspicious network activities from connections between hosts; 2) contextual information expressed as attack context profiles on top of semantic relationships. The combined use of context and semantics in intrusion detection results in predicting attacks with higher accuracy while decreasing the number of false positives at the same time. A prototype system has been implemented and experiments have been conducted on it. The results exhibit higher or competitive detection rates compared with other existing approaches.

Online publication date: Wed, 02-Jul-2014

The full text of this article is only available to individual subscribers or to users at subscribing institutions.

 
Existing subscribers:
Go to Inderscience Online Journals to access the Full Text of this article.

Pay per view:
If you are not a subscriber and you just want to read the full contents of this article, buy online access here.

Complimentary Subscribers, Editors or Members of the Editorial Board of the International Journal of Information and Computer Security (IJICS):
Login with your Inderscience username and password:

Username:        Password:          Forgotten your password?

Want to subscribe?
A subscription gives you complete access to all articles in the current issue, as well as to all articles in the previous three years (where applicable). See our Orders page to subscribe.

If you still need assistance, please email subs@inderscience.com