A framework for automated identification of attack scenarios on IT infrastructures

Camtepe, Seyit A., Bsufka, Karsten, Hennig, Leonhard, Simsek, Cihan, & Albayrak, Sahin (2012) A framework for automated identification of attack scenarios on IT infrastructures. PIK ( Praxis der Informationsverarbeitung und Kommunikation) Journal on Network Attack Detection and Defence, 35(1), pp. 25-31.

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Abstract

Due to increased complexity, scale, and functionality of information and telecommunication (IT) infrastructures, every day new exploits and vulnerabilities are discovered. These vulnerabilities are most of the time used by ma¬licious people to penetrate these IT infrastructures for mainly disrupting business or stealing intellectual pro¬perties. Current incidents prove that it is not sufficient anymore to perform manual security tests of the IT infra¬structure based on sporadic security audits. Instead net¬works should be continuously tested against possible attacks. In this paper we present current results and challenges towards realizing automated and scalable solutions to identify possible attack scenarios in an IT in¬frastructure. Namely, we define an extensible frame¬work which uses public vulnerability databases to identify pro¬bable multi-step attacks in an IT infrastructure, and pro¬vide recommendations in the form of patching strategies, topology changes, and configuration updates.

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ID Code: 57361
Item Type: Journal Article
Refereed: Yes
Keywords: attack tree, attack graph, vulnerability assessment, attack modelling, reachability analysis, security simulation, attack scenario
DOI: 10.1515/pik-2012-0005
ISSN: 1865-8342
Subjects: Australian and New Zealand Standard Research Classification > INFORMATION AND COMPUTING SCIENCES (080000) > COMPUTER SOFTWARE (080300) > Computer System Security (080303)
Australian and New Zealand Standard Research Classification > INFORMATION AND COMPUTING SCIENCES (080000) > DISTRIBUTED COMPUTING (080500) > Networking and Communications (080503)
Australian and New Zealand Standard Research Classification > TECHNOLOGY (100000) > COMMUNICATIONS TECHNOLOGIES (100500) > Computer Communications Networks (100503)
Divisions: Current > Schools > School of Electrical Engineering & Computer Science
Past > Institutes > Information Security Institute
Current > QUT Faculties and Divisions > Science & Engineering Faculty
Copyright Owner: Copyright 2012 De Gruyter
Copyright Statement: The final publication is available at www.degruyter.com
Deposited On: 19 Feb 2013 01:42
Last Modified: 20 May 2014 13:38

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