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

CCUR > College of Business > Department of Information Management & Graduate Institute of Information Management > periodical articles > Item 987654321/21051

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題名:	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)
貢獻者:	資管系
日期:	2010-03
上傳時間:	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.
顯示於類別:	[Department of Information Management & Graduate Institute of Information Management] periodical articles

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