English  |  正體中文  |  简体中文  |  Items with full text/Total items : 57042/90725 (63%)
Visitors : 12435837      Online Users : 66
RC Version 7.0 © Powered By DSPACE, MIT. Enhanced by NTU Library & TKU Library IR team.
Scope Tips:
  • please add "double quotation mark" for query phrases to get precise results
  • please goto advance search for comprehansive author search
  • Adv. Search
    HomeLoginUploadHelpAboutAdminister Goto mobile version
    Please use this identifier to cite or link to this item: http://tkuir.lib.tku.edu.tw:8080/dspace/handle/987654321/68409

    Title: An Early Fraud Detection Mechanism for Online Auctions Based on Phased Modeling
    Authors: Chang, Jau-Shien;Chang, Wen-Hsi
    Contributors: 淡江大學資訊管理學系
    Date: 2009-12
    Issue Date: 2011-10-23 12:54:26 (UTC+8)
    Publisher: Taipei : Institute of electrical and electronics engineers (IEEE)
    Abstract: Reputation systems provided by online auction sites are the only countermeasure available for buyers to evaluate a seller's credit. Unfortunately, feedback score mechanisms are too easily manipulated creating falsely overrated reputations. Therefore, developing an effective fraud detection method can assist the user in identifying cases of fraud. However, none of existing research addresses the most important issue of early fraud detection, which is, discovering a fraudster before he defrauds. For effective early fraud detection for online auctions, this paper proposes a novel phased detection framework to identify a potential fraudster as early as possible. To heighten precision in detection, different quantifiable behavioral features were extracted and integrated with regression model trees to build phased fraud behavior models. To demonstrate the effectiveness of the proposed method, real transaction data were collected from Taiwan's Yahoo!Kimo for training and testing. The experimental results with these models show that the recall rate of fraud detection is over 82%.
    Relation: Proceedings of the 2009 joint conferences on pervasive computing, pp.743-748
    DOI: 10.1109/JCPC.2009.5420085
    Appears in Collections:[資訊管理學系暨研究所] 會議論文

    Files in This Item:

    File Description SizeFormat
    An Early Fraud Detection Mechanism for Online Auctions Based on Phased.pdf全文檔3893KbAdobe PDF223View/Open

    All items in 機構典藏 are protected by copyright, with all rights reserved.

    DSpace Software Copyright © 2002-2004  MIT &  Hewlett-Packard  /   Enhanced by   NTU Library & TKU Library IR teams. Copyright ©   - Feedback