Franqueira, Virginia Nunes Leal, Lopes, R.H.C. and van Eck, P.A.T. (2007) An Evolutionary Approach for Learning Attack Specifications in Network Graphs. Project Report. Centre for Telematics and Information Technology, University of Twente, Enschede.
- Published Version
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:||Monograph (Project Report)|
|Uncontrolled Keywords (separate with ;):||AI in Security and Information Assurance; Evolutionary Computing|
|Subjects:||Q Science > Q Science (General)|
Q Science > QA Mathematics > QA75 Electronic computers. Computer science
|Schools:||College of Science and Technology > School of Computing Engineering & Physical Sciences|
|Deposited By:||Carmit Erez|
|Deposited On:||01 Nov 2012 16:36|
|Last Modified:||06 Mar 2014 14:45|
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