An ontology-driven approach to model SIEM information and operations using the SWRL formalism
by Gustavo Gonzalez Granadillo; Yosra Ben Mustapha; Nabil Hachem; Herve Debar
International Journal of Electronic Security and Digital Forensics (IJESDF), Vol. 4, No. 2/3, 2012

Abstract: The management of security events, from the risk analysis to the selection of appropriate countermeasures, has become a major concern for security analysts and IT administrators. Furthermore, the fact that network and system devices are heterogeneous, increases the difficulty of these administrative tasks. This paper introduces an ontology-driven approach to address the aforementioned problems. The proposed model takes into account two aspects: the information and the operations that are manipulated by SIEM environments in order to reach the desired goals. The model uses ontologies to provide simplicity on the description of concepts, relationships and instances of the security domain. The semantics web rule languages are used to describe the logic rules needed to infer relationships among individuals and classes. A case study on Botnets is presented at the end of this paper to illustrate a concrete utilisation of our model.

Online publication date: Wed, 19-Nov-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 Electronic Security and Digital Forensics (IJESDF):
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