期刊论文详细信息
African Journal of Mathematics and Computer Science Research
A fraud detection tool in E-auctions
Tatenda D. Kavu1 
关键词: E-auction;    bidding;    shilling;    shill attributes;    shill score.;   
DOI  :  10.5897/AJMCSR2015.0593
学科分类:计算机科学(综合)
来源: Academic Journals
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【 摘 要 】

Due to rapid growth of the use of online auctions, fraudsters have taken advantage of these platforms to participate in their own auctions in order to raise prices (a practice called shilling). Innocent bidders have been forced to pay higher prices than they were willing to offer. This has resulted in the need to design and implement a shill detection algorithm. To eliminate this shilling problem, we designed a shilling detection algorithm integrated with an online auction. The algorithm proved to be effective and it was tested on the internet, and the short time of shill detection proved that the algorithm can work real time on e-auctions with large user base. This method can be used as a technique to eliminate shilling.

【 授权许可】

CC BY   

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