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

A. S. N. Murthy, Vishnuprasad Nagadevara and Rahul De'
Additional contact information
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

International Journal of Information Systems in the Service Sector (IJISSS), 2010, vol. 2, issue 3, 1-12

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.

Date: 2010
References: Add references at CitEc
Citations:

Downloads: (external link)
http://services.igi-global.com/resolvedoi/resolve. ... 018/jisss.2010070101 (application/pdf)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:igg:jisss0:v:2:y:2010:i:3:p:1-12

Access Statistics for this article

International Journal of Information Systems in the Service Sector (IJISSS) is currently edited by John Wang

More articles in International Journal of Information Systems in the Service Sector (IJISSS) from IGI Global
Bibliographic data for series maintained by Journal Editor ().