Title :
Vulnerability Assessment by Learning Attack Specifications in Graphs
Author :
Franqueira, Virginia N L ; Lopes, Raul H C
Author_Institution :
Univ. of Twente, Enschede
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.
Keywords :
computer networks; evolutionary computation; security of data; attack scenarios; attack specifications; computer grid; computer networks; evolutionary approach; insider threat; social networks; vulnerability assessment; Computer networks; Costs; Grid computing; Social network services; DoS; Intrusion Prevention; Network Security;
Conference_Titel :
Information Assurance and Security, 2007. IAS 2007. Third International Symposium on
Conference_Location :
Manchester
Print_ISBN :
0-7695-2876-7
Electronic_ISBN :
978-0-7695-2876-2
DOI :
10.1109/IAS.2007.42
