DocumentCode
1511299
Title
Using clustering to discover the preferences of computer criminals
Author
Brown, Donald E. ; Gunderson, Louise F.
Author_Institution
Dept. of Syst. Eng., Virginia Univ., Charlottesville, VA, USA
Volume
31
Issue
4
fYear
2001
fDate
7/1/2001 12:00:00 AM
Firstpage
311
Lastpage
318
Abstract
The ability to predict computer crimes has become increasingly important. The paper describes a method for discovering the preferences of computer criminals. This method involves sequential clustering based on the variance of clusters discovered in higher order clustering. These discovered preferences can be used for the direct protection of computer systems against ongoing attacks or for the construction of simulations of future attacks
Keywords
behavioural sciences; computer crime; multi-agent systems; pattern clustering; probability; computer criminals; future attacks; higher order clustering; preferences; sequential clustering; variance; Business; Computational modeling; Computer crime; Computer simulation; Data mining; Internet; Law enforcement; Predictive models; Protection; Utility theory;
fLanguage
English
Journal_Title
Systems, Man and Cybernetics, Part A: Systems and Humans, IEEE Transactions on
Publisher
ieee
ISSN
1083-4427
Type
jour
DOI
10.1109/3468.935048
Filename
935048
Link To Document