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10333 An Evolutionary Approach for Learning Attack Specifications in Network Graphs
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Nunes Leal Franqueira, V. and Lopes, R.H.C. and van Eck, P.A.T. (2007) An Evolutionary Approach for Learning Attack Specifications in Network Graphs. Technical Report TR-CTIT-07-40, Centre for Telematics and Information Technology University of Twente, Enschede. ISSN 1381-3625

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This paper presents an evolutionary algorithm that learns attack scenarios, called attack specifications, from a network graph. This learning process aims to find attack specifications that minimise cost and maximise the value that an attacker gets from a successful attack. The attack specifications that the algorithm learns are represented using an approach based on Hoare's CSP (Communicating Sequential Processes). This new approach is able to represent several elements found in attacks, for example synchronisation. These attack specifications can be used by network administrators to find vulnerable scenarios, composed from the basic constructs Sequence, Parallel and Choice, that lead to valuable assets in the network.

Item Type:Internal Report (Technical Report)
Research Group:EWI-IS: Information Systems
Research Program:CTIT-ISTRICE: Integrated Security and Privacy in a Networked World
Research Project:IPID: Integrated Policy-based Intrusion Detection
Additional Information:AI in Security and Information Assurance, Evolutionary Computing
ID Code:10333
Deposited On:03 July 2007
More Information:statisticsmetis

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