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
fDate :
7/1/2001 12:00:00 AM
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;
Journal_Title :
Systems, Man and Cybernetics, Part A: Systems and Humans, IEEE Transactions on
DOI :
10.1109/3468.935048
