Risk assessment and attack graph generation for collaborative infrastructures: a survey
by Kirsty E. Lever; Kashif Kifayat
International Journal of Critical Computer-Based Systems (IJCCBS), Vol. 6, No. 3, 2016

Abstract: Collaborative infrastructures allow physical, cyber and human elements to be combined and can integrate legacy systems with new technology. As organisations globally continue to take advantage of the benefits collaboration affords, it is vital that the methods for defending these systems do not fail due to societal dependence upon the assets of these critical infrastructures. Risk assessment methods and attack graphs provide platforms that facilitate modelling, detection and analysis of these collaborative networks. They endeavour to provide functionality to identify potential vulnerabilities within these large infrastructures, which potentially could leave systems exposed. Current methods are inadequate despite increased research and development. Existing schemas failings include accurate identification of relationships and interdependencies between risks and reduction of attack graph size and generation complexity. In this paper, we present a critical analysis of methods and tools which were developed to assist with risk assessment and attack graph generation within large networked environments.

Online publication date: Sun, 11-Sep-2016

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 Critical Computer-Based Systems (IJCCBS):
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