Vulnerability Assessment by Learning Attack Specifications in Graphs

Franqueira, Virginia N. L., Lopes, Raul H. C. (2007) Vulnerability Assessment by Learning Attack Specifications in Graphs. In: Proceedings IAS 2007: Third International Symposium on Information Assurance and Security. . pp. 161-164. IEEE ISBN 978-0-7695-2876-2. (doi:10.1109/isias.2007.4299768) (The full text of this publication is not currently available from this repository. You may be able to access a copy if URLs are provided) (KAR id:77203)

The full text of this publication is not currently available from this repository. You may be able to access a copy if URLs are provided.
Official URL: https://doi.org/10.1109/isias.2007.4299768

Abstract

This paper presents an evolutionary approach for learning attack specifications that describe attack scenarios. The objective is to find vulnerabilities in computer networks which minimise the cost of an attack with maximum impact. Although we focus on insider threat, the proposed approach applies to networks in general, including social networks and computer grid.

Item Type:	Conference or workshop item (Proceeding)
DOI/Identification number:	10.1109/isias.2007.4299768
Uncontrolled keywords:	Network Security, DoS, Intrusion Prevention
Divisions:	Divisions > Division of Computing, Engineering and Mathematical Sciences > School of Computing
Depositing User:	Virginia Franqueira
Date Deposited:	10 Oct 2019 16:23 UTC
Last Modified:	05 Nov 2024 12:41 UTC
Resource URI:	https://kar.kent.ac.uk/id/eprint/77203 (The current URI for this page, for reference purposes)

University of Kent Author Information

Franqueira, Virginia N. L..

Creator's ORCID:	https://orcid.org/0000-0003-1332-9115
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