Predictive Models in Cybercrime Investigation
| Autor: | Vishnuprasad Nagadevara, Rahul De, A. S. N. Murthy |
|---|---|
| Rok vydání: | 2010 |
| Předmět: |
Engineering
Information Systems and Management business.industry Strategy and Management Law enforcement Management Science and Operations Research computer.software_genre Computer security Management Information Systems Cybercrime Investigation methods Data mining business computer Information Systems |
| Zdroj: | International Journal of Information Systems in the Service Sector. 2:1-12 |
| ISSN: | 1935-5696 1935-5688 |
| DOI: | 10.4018/jisss.2010070101 |
| Popis: | 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. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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