COUNTERACTING SHILL BIDDING IN ONLINE ENGLISH AUCTION

Author:

BHARGAVA BHARAT1,JENAMANI MAMATA2,ZHONG YUHUI1

Affiliation:

1. Department of Computer Sciences, Purdue University, USA

2. Department of Computer Science, N.I.T. Rourkela, India

Abstract

The popularity of online auctions and the associated frauds have led to many auction sites preferring English auction over other auction mechanisms. The ease of adopting multiple fake identities over the Internet nourishes shill bidding by fraudulent sellers in English auction. In this paper, we derive an equilibrium bidding strategy to counteract shill bidding in an online English auction. An algorithm based on this strategy is developed. We conduct experiments to evaluate the strategy in a simulated eBay like auction environment. Five popular bidding strategies are compared with the proposed one. In the simulation, bidders compete to buy a product in the presence of a shill. Each bidder is randomly assigned a bidding strategy. She draws her valuation from a uniform distribution. The experiments show hat the average expected utility of agents with proposed strategy is the highest when the auction continues for a longer duration.

Publisher

World Scientific Pub Co Pte Lt

Subject

Computer Science Applications,Information Systems

Cited by 14 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Who are you? Cartel detection using unlabeled data;International Journal of Industrial Organization;2023-05

2. Risk prediction of Shill bidding fraud based on support vector machine;International Conference on Electronic Information Engineering and Computer Communication (EIECC 2021);2022-05-04

3. A Run-Time Algorithm for Detecting Shill Bidding in Online Auctions;Journal of theoretical and applied electronic commerce research;2018-05

4. Real-time detection of shill bidding in online auctions: A literature review;Computer Science Review;2017-08

5. Analysis on Bidding Behaviours for Detecting Shill Bidders in Online Auctions;2016 IEEE International Conference on Computer and Information Technology (CIT);2016-12

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