Research Article
Vulnerability Assessment by Learning Attack Specifications in Graphs
@INPROCEEDINGS{10.1109/IAS.2007.42, author={Virginia N.L. Franqueira and Raul H. C. Lopes}, title={Vulnerability Assessment by Learning Attack Specifications in Graphs}, proceedings={3rd International ICST Symposium on Information Assurance and Security}, publisher={IEEE}, proceedings_a={IAS}, year={2007}, month={9}, keywords={DoS Intrusion Prevention Network Security}, doi={10.1109/IAS.2007.42} }
- Virginia N.L. Franqueira
Raul H. C. Lopes
Year: 2007
Vulnerability Assessment by Learning Attack Specifications in Graphs
IAS
IEEE
DOI: 10.1109/IAS.2007.42
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.
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