| Título: | AN EVALUATION AND SCHEME FOR FIGHTING INTERNET AUCTION DECEPTION |
| Autores: |
Keerthichandra, G.; M.Tech Student, Dept of CSE, Ellenki College of Engineering and Technology, Hyderabad, A.P, India Sivaswetha, M.; Assistant Professor, Dept of CSE, Ellenki College of Engineering and Technology, Hyderabad, A.P Kumar, M.Sudhir; Associate Professor, Dept of CSE, Ellenki College of Engineering and Technology, Hyderabad, A.P |
| Fecha: | 2013-08-07 |
| Publicador: | International journal of computer and electronics research |
| Fuente: |
 |
| Tipo: | Peer-reviewed Article |
| Tema: | Online auction fraud; Internet auction sites; Fraud Detection systems; Proactive model |
| Descripción: | Due to the commercialization of the World Wide Web, online marketplaces have been extensively explored by industrial organizations for brand consciousness and profits sources. Individuals are talented to buy and sell a broad selection of goods and services worldwide on online auction and shopping websites. On Internet auction sites, auction fraud mostly involves fraud attributable to the distortion of a product advertised for auction or the non-delivery of products purchased all the way through an Internet auction site. However, criminals have also efforted to perform deceitful activities against honest parties for the purpose of unlawful profit. To detect and prevent such illegal and deceptive activities proactive fraud-detection moderation systems are commonly applied in practice to become aware of online auction frauds for a most important Asian site where hundreds of thousands of new auction cases are posted every day. The moderation system by means of machine-learned models is proven to progress fraud detection significantly over the human-tuned weights. |
| Idioma: | Inglés |
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