DocumentCode
3366438
Title
Vulnerability Assessment by Learning Attack Specifications in Graphs
Author
Franqueira, Virginia N L ; Lopes, Raul H C
Author_Institution
Univ. of Twente, Enschede
fYear
2007
fDate
29-31 Aug. 2007
Firstpage
161
Lastpage
164
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;
fLanguage
English
Publisher
ieee
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
Type
conf
DOI
10.1109/IAS.2007.42
Filename
4299768
Link To Document