APPLYING SELF-ORGANIZATION MAP TO PREVENT THE SHILL BIDDING IN ONLINE AUCTIONS

文化大學機構典藏 CCUR > 商學院 > 資訊管理學系暨資訊管理研究所 > 期刊論文 > Item 987654321/21051

jsp.display-item.identifier=請使用永久網址來引用或連結此文件: https://irlib.pccu.edu.tw/handle/987654321/21051

题名:	APPLYING SELF-ORGANIZATION MAP TO PREVENT THE SHILL BIDDING IN ONLINE AUCTIONS
作者:	Lee, HM (Lee, Huey-Ming) Wang, CW (Wang, Chih-Wei) Su, JS (Su, Jin-Shieh)
贡献者:	資管系
日期:	2010-03
上传时间:	2011-12-12 15:42:05 (UTC+8)
摘要:	Since malicious bidding behaviors are changed frequently, we need a profiling mechanism to profile malicious bidding behaviors for detecting shill bidder. In this study, we proposed a malicious bidding prevention model (MBP). This model can profile malicious bidding behavior for detecting potential shill bidder and reduce computational cost in detecting. There are three modules in this model, namely, profiled malicious bidder behavior module (PMBB), shilling behavior detection module (SBD), and reputation module (RM). We applied self-organizing map (SOM) algorithm to build up PMBB and SBD. PMBB can profile malicious bidder behavior by using SOM algorithm. SBD detect malicious bidder based on similarity comparison between malicious profile and user behaviors by using SOM algorithm. Finally, RM will mark the malicious reputation for prior detected user. Via the experiment results, the proposed model is effectively capable to detect shilling bidding behaviors and reduce the computational cost and time. Moreover, the auctioneer can force shill seller become normal seller or leave the auction website by punishing him/her.
显示于类别:	[資訊管理學系暨資訊管理研究所 ] 期刊論文

文件中的档案:

没有与此文件相关的档案.

在CCUR中所有的数据项都受到原著作权保护.