Enhanced Online Hybrid Model for Online Fraud Prevention and Detection

Abstract

With the advent of technology, the business process, worldwide, has shifted from a slow—person-to-person physical interaction to a better and faster service platform—the Internet. The biggest advantage of this platform is that it allows the people to undergo their business transactions without meeting with the other party/parties and still making the benefits out of the agreement between them. Though this approach has a major edge over the conventional methods, still has many drawbacks to be pondered upon. The Internet has also emerged as a platform to commit crimes at a very high rate. Frauds committed online has put a question on this very approach of revolutionized business since no proposed model yet has given a sound and complete way to handle these issues. 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. The key frauds where Enhanced Online Hybrid Model (EOHM) can be used would be auction frauds, no-delivery frauds, and identity theft frauds.