DocumentCode
1737688
Title
Using a multi-agent model to predict both physical and cyber criminal activity
Author
Gunderson, L. ; Brown, Donald
Author_Institution
Dept. of Syst. Eng., Virginia Univ., Charlottesville, VA, USA
Volume
4
fYear
2000
fDate
2000
Firstpage
2338
Abstract
The paper describes a multi-agent methodology for the prediction of physical crime and cyber crime. The model uses clustering algorithms to determine the number of agents in the environment. The preference of each of these agents is determined by feature selection. The agents are allowed to interact in a synthetic environment. The results of the interactions are measured and the model is updated with new information. This modeling approach holds significant promise for the simulation of human criminal behavior
Keywords
computer crime; digital simulation; multi-agent systems; police data processing; clustering algorithms; cyber criminal activity prediction; feature selection; human criminal behavior simulation; multi-agent model; physical criminal activity prediction; synthetic environment; Clustering algorithms; Computer crime; Data engineering; Data mining; Decision making; Extrapolation; Humans; Internet; Predictive models; Research initiatives;
fLanguage
English
Publisher
ieee
Conference_Titel
Systems, Man, and Cybernetics, 2000 IEEE International Conference on
Conference_Location
Nashville, TN
ISSN
1062-922X
Print_ISBN
0-7803-6583-6
Type
conf
DOI
10.1109/ICSMC.2000.884340
Filename
884340
Link To Document