3rd International ICST Symposium on Information Assurance and Security

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
Virginia N.L. Franqueira1,*, Raul H. C. Lopes2,*
  • 1: University of Twente, Dept. of Computer Science, IS Group, Enschede, The Netherlands
  • 2: School of Engineering and Design, London, England
*Contact email: franqueirav@ewi.utwente.nl, raul.lopes@brunel.ac.uk

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.