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INTERNATIONAL JOURNAL OF SCIENTIFIC DEVELOPMENT AND RESEARCH International Peer Reviewed & Refereed Journals, Open Access Journal ISSN Approved Journal No: 2455-2631 | Impact factor: 8.15 | ESTD Year: 2016 open access , Peer-reviewed, and Refereed Journals, Impact factor 8.15 |
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| Paper Title: | Implementation of Shill Bidding for Detection of Fraudulent Users. |
| Authors Name: | Riddhi Zunjarrao , Vikas Singh , Shreyas Kulkarni , Kamraan Khan |
| Unique Id: | IJSDR1904066 |
| Published In: | Volume 4 Issue 4, April-2019 |
| Abstract: | Shill bidding in common terms means that the price, desirability of an item is raised superficially. Online auctions have increased in recent times and so there is a need to detect shill bidders. Shill bidders create an environment where the price is quite high then actually it should be. These days many online shopping sites organize auctions but sometimes people create an unnecessary demand for the product. Hence forcing the people to pay extra. To maintain the integrity of the online auction our system will be very useful. Our system is designed to effectively recognize the bidders behavior and to stop such a fraud to occur. In the proposed system we will be analyze the behavior and different patterns of the bidders, and hence protect the fraud to not occur in future. Considering the strengths and weaknesses of existing works on combating shill bidding in online auction, in this paper, we propose a reliable software architecture, which includes seperate modules for bidding behavior tracking, IP tracking, user status management and user authorizing to secure and protect auction systems from shill bidders for both forward and reverse auctions The presented system has been validated using some experimental data obtained from real world auction systems and specially generated with application of domain specific tools. Study confirmed that proposed system was able to detect most frauds related to the artificial price inflation. Also previously major work was done in offline shill bidding but many innocent users suffered. We will let the machine learn different fraudulent behaviours by passing them through different layers and they can detect in real time. |
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| Cite Article: | "Implementation of Shill Bidding for Detection of Fraudulent Users.", International Journal of Science & Engineering Development Research (www.ijsdr.org), ISSN:2455-2631, Vol.4, Issue 4, page no.307 - 310, April-2019, Available :http://www.ijsdr.org/papers/IJSDR1904066.pdf |
| Downloads: | 000337070 |
| Publication Details: | Published Paper ID: IJSDR1904066 Registration ID:190400 Published In: Volume 4 Issue 4, April-2019 DOI (Digital Object Identifier): Page No: 307 - 310 Publisher: IJSDR | www.ijsdr.org ISSN Number: 2455-2631 |
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