Online Hybrid Model for Online Fraud Prevention and Detection

  title={Online Hybrid Model for Online Fraud Prevention and Detection},
  author={Ankit Mundra and Nitin Rakesh},
The current trend of online business enables better and faster service for users and makes it more profitable for merchants. On the other side, the Internet has become the most popular platform for fraudsters to commit online fraud with ease. Several solutions have been proposed in the literature to overcome these online frauds. But, complete and efficient way out from this problem is still in research. In this paper, we have proposed online hybrid model (OHM) which extensively prevents the… Expand
Enhanced Online Hybrid Model for Online Fraud Prevention and Detection
This paper is an extension of the previously generated OHM model, and enhances the parameters and flow of the entire OHM system, to prevent online frauds. Expand
Empirical study of online hybrid model for internet frauds prevention and detection
The robustness of various OHM modules is shown in terms of logical design and their operational interaction and it is shown that OHM is highly effective online fraud prevention/detection/elimination approach. Expand
Online Hybrid Model for Fraud Prevention (OHM-P): Implementation and Performance Evaluation
The OHM-P approach is implemented using JAVA modules which provides registration interface for both user and web-server and security and robustness as the performance parameters are analyzed. Expand
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  • Computer Science, Economics
  • J. Electron. Commer. Res.
  • 2003
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National White Collar crime center: Report on Internet fraud, whitepapers/internet_fraud.pdf?sfvrsn=7
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