Live Bidding Application: Predicting Shill Bidding Using Machine Learning
Authors: 
Chetan Mudlapur, Samyak Jain, Shruti Mittal, Pravar Jain, Vikram NeerugattiAuthors Info & Claims
Pages 316 - 323
Abstract
Online bidding systems are a well-known method of satisfying online buyers’ and sellers’ expectations since they allow both parties to buy and sell goods at competitive prices. A live auction is used to implement the online bidding system, allowing multiple bidders to participate at once. Together, these bidders may place a bid on any item. You can sell anything on the website with this app from your home or a store. It is being created with the intention of making the system dependable, simple, and quick. Everyone can now take part in an auction while relaxing in their own homes. Despite the popularity of internet auctions, there are numerous dishonest buying or selling practises that might take place. One of the trickiest forms of auction fraud to spot among all of them is shill bidding. Shill bidding is when a seller participates in his or her own auction while purposefully placing a false bid to raise the price at the end. The seller may do this on his or her own, or a third party may work along with the seller to submit fictitious bids on the seller’s behalf.
References
[1]
Aggarwal, C.C., Yu, P.S.: Online auctions: there can be only one. In: 2009 IEEE Conference on Commerce and Enterprise Computing (2009)
[2]
Dong F, Shatz SM, and Xu H Combating online in-auction fraud: clues techniques and challenges Comput. Sci. Rev. 2009 3 4 245-258
[3]
Trevathan, J., Read, W.: Undesirable and fraudulent behaviour in online auctions. In: Proceedings of International Conference on Security and Cryptograpghy, pp. 450–458 (2006)
[4]
Ghani, R., Simmons, H.: Predicting the end-price of online auctions. In: Proceedings of the International (2004)
[5]
Wang S, Jank W, and Shmueli G Explaining and forecasting online auction prices and their dynamics using functional data analysis J. Bus. Econ. Stat. 2008 26 2 144-160
[6]
Chan NH, Li ZR, and Yau CY Forecasting online auctions via self-exciting point processes J. Forecast. 2014 33 7 501-514
[7]
Kaur P, Goyal M, and Lu J Cao L, Bazzan ALC, Symeonidis AL, Gorodetsky VI, Weiss G, and Yu PS Pricing analysis in online auctions using clustering and regression tree approach Agents and Data Mining Interaction 2012 Heidelberg Springer 248-257
[8]
Pinto T, Sousa TM, Praça I, Vale Z, and Morais H Support Vector Machines for decision support in electricity markets׳ strategic bidding Neurocomputing 2016 172 438-445
[9]
Matsuo T., Ito T., Shintani T.: An approach to avoiding shill bids based on combinatorial auction in volume discount. In: First International Workshop on Rational, Robust, and Secure Negotiation Mechanisms in Multi-Agent Systems, pp. 25–38 (2005)
[10]
Lei, B., Zhang, H., Chen, H., Liu, L., Wang, D.: A k-means clustering based algorithm for shill bidding recognition in online auction. In:2012 24th Chinese Control and Decision Conference (CCDC), pp. 939–943. Taiyuan, China (2012).
[12]
[13]
Ganguly S and Sadaoui S Mouhoub M, Sadaoui S, Ait Mohamed O, and Ali M Online detection of shill bidding fraud based on machine learning techniques Recent Trends and Future Technology in Applied Intelligence 2018 Cham Springer 303-314
Recommendations
Detecting multiple seller collusive shill bidding
Highlights- This is the first paper to examine the scenario of multiple colluding sellers engaging in shill bidding.
AbstractShill bidding occurs when fake bids are introduced into an auction on the seller’s behalf in to artificially inflate the final price. The seller either has associates bid in the seller’s auctions, or the seller controls multiple fake ...
A Simple Shill Bidding Agent
ITNG '07: Proceedings of the International Conference on Information TechnologyShill bidding is where fake bids are introduced into an auction to drive up the final price for the seller, thereby defrauding legitimate bidders. Although shill bidding is strictly forbidden in online auctions such as eBay, it is still a major problem. ...
Detecting Collusive Shill Bidding
ITNG '07: Proceedings of the International Conference on Information TechnologyShill bidding is where spurious bids are introduced into an auction to drive up the final price for the seller, thereby defrauding legitimate bidders. Trevathan and Read presented an algorithm to detect the presence of shill bidding in online auctions. ...
Comments
Please enable JavaScript to view thecomments powered by Disqus.Information & Contributors
Information
Published In
Jul 2023
809 pages
ISBN:978-3-031-36401-3
DOI:10.1007/978-3-031-36402-0
© The Author(s), under exclusive license to Springer Nature Switzerland AG 2023.
Publisher
Springer-Verlag
Berlin, Heidelberg
Publication History
Published: 21 July 2023
Author Tags
Qualifiers
- Article
Contributors
Other Metrics
Bibliometrics & Citations
Bibliometrics
Article Metrics
- 0Total Citations
- 0Total Downloads
- Downloads (Last 12 months)0
- Downloads (Last 6 weeks)0
Reflects downloads up to 21 Dec 2024