DocumentCode
2315650
Title
PerpSearch: An integrated crime detection system
Author
Ding, Li ; Steil, Dana ; Hudnall, Matthew ; Dixon, Brandon ; Smith, Randy ; Brown, David ; Parrish, Allen
Author_Institution
Comput. Sci. Dept., Univ. of Alabama, Tuscaloosa, AL
fYear
2009
fDate
8-11 June 2009
Firstpage
161
Lastpage
163
Abstract
Information technologies such as data mining and social network analysis have been widely used in law enforcement to solve crimes. Recent research indicates that geographic profiling also plays an important role in facilitating the investigation of crimes. However, lack of integration makes those systems less helpful in practice. In this paper, we propose an integrated system called PerpSearch that will take a given description of a crime, including its location, type, and the physical description of suspects (personal characteristics or vehicles) as input. To detect suspects, the system will process these inputs through four integrated components: geographic profiling, social network analysis, crime patterns, and physical matching. Essentially, geographic profiling determines ldquowhererdquo the suspects are, while other components determine ldquowhordquo the suspects are. We then process the results using a score engine to give investigators a ranked list of individuals. To date, we have implemented a prototype of the system based on current Alabama law enforcement data.
Keywords
computer crime; data mining; Alabama law enforcement data; PerpSearch; crime patterns; data mining; geographic profiling; information technologies; integrated crime detection system; physical matching; social network analysis; Data mining; Engines; Information analysis; Information technology; Law enforcement; Pattern analysis; Pattern matching; Prototypes; Social network services; Vehicles; crime patterns; criminal justice; geographic profiling; social network analysis;
fLanguage
English
Publisher
ieee
Conference_Titel
Intelligence and Security Informatics, 2009. ISI '09. IEEE International Conference on
Conference_Location
Dallas, TX
Print_ISBN
978-1-4244-4171-6
Electronic_ISBN
978-1-4244-4173-0
Type
conf
DOI
10.1109/ISI.2009.5137289
Filename
5137289
Link To Document