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Predictive Models in Cybercrime Investigation: An Application of Data Mining Techniques

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  • A. S. N. Murthy

    (Indian Police Service, Karnataka, India)

  • Vishnuprasad Nagadevara

    (Indian Institute of Management Bangalore, India)

  • Rahul De'

    (Indian Institute of Management Bangalore, India)

Abstract

With increased access to computers across the world, cybercrime is becoming a major challenge to law enforcement agencies. Cybercrime investigation in India is in its infancy and there has been limited success in prosecuting the offenders; therefore, a need to understand and strengthen the existing investigation methods and systems for controlling cybercrimes is greatly needed. This study identifies important factors that will enable law enforcement agencies to reach the first step in effective prosecution, namely charge-sheeting of the cybercrime cases. Data on 300 cybercrime cases covering a number of demographic, technical and other variables related to cybercrime was analyzed using data mining techniques to identify and prioritize various factors leading to filing of the charge-sheet. These factors and the respective priority rankings are used to suggest various policy measures for improving the success rate of prosecution of cybercrimes.

Suggested Citation

  • A. S. N. Murthy & Vishnuprasad Nagadevara & Rahul De', 2010. "Predictive Models in Cybercrime Investigation: An Application of Data Mining Techniques," International Journal of Information Systems in the Service Sector (IJISSS), IGI Global, vol. 2(3), pages 1-12, July.
    • Handle: RePEc:igg:jisss0:v:2:y:2010:i:3:p:1-12
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