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SL-SecureNet: Intelligent Policing Using Data Mining Techniques

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Author(s): M.A.P. Chamikara | Y.P.R. D. Yapa | S.R.Kodituwakku | J. Gunathilake

Journal: International Journal of Soft Computing & Engineering
ISSN 2231-2307

Volume: 2;
Issue: 1;
Start page: 175;
Date: 2012;
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Keywords: Crime Analysis | Crime Investigation | Data Mining | Intelligent Policing

ABSTRACT
Many police departments all around the world lack of good and efficient crime recording and analysis systems. The vast geographical diversity and the complexity of crime patterns have made the analyzing and recording of crime data even difficult. According to the Sri Lankan police department, they face these problems for many years. This paper presents an intelligent crime analysis and recording system designed to overcome problems that appear mainly in the Sri Lankan police department. The proposed system is a GIS based system which comprises of data mining techniques such as Hotspot detection, Crime clock, Crime comparison, Crime pattern visualization, Outbreaks detection and the Nearest police station detection. Salient features of the proposed system include a rich environment for crime data analysis and a simplified environment for location based data analysis. It facilitates the identification of various types of crimes in detail and assists the police personals to control and prevent such incident efficiently. The SL-SecureNet was tested for about 1000 crime records. The test results indicated that it functions in an efficient and reliable manner.

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