Analysis of fraudulent behavior strategies in online auctions for detecting latent fraudsters
學年 102
學期 2
出版（發表）日期 2014-03-01
作品名稱 Analysis of fraudulent behavior strategies in online auctions for detecting latent fraudsters
作品名稱（其他語言）
著者 Chang, Jau-Shien; Chang, Wen-Hsi
單位 淡江大學資訊管理學系
出版者 Amsterdam: Elsevier BV
著錄名稱、卷期、頁數 Electronic Commerce Research and Applications 13(2), pp.79–97
摘要 Online auction fraudsters constantly monitor the contextual situations of the auction and change their behavior strategies accordingly to distract the attention of their targets. This flipping of behavior makes it difficult to identify fraudsters. Thus, legitimate traders need appropriate countermeasures to avoid becoming victimized. To help online auction users detect fraudsters as early as possible, this study develops a systematic method to discover the fraudulent strategies from proven cases of online auction fraud. First, according to the results of cluster analysis on the proven fraudsters, four typical types of fraud are identified, which are Aggressive, Classical, Luxury and Low-profiled. To provide better insight, a strategy is further represented by a series of status transitions. Hidden statuses of latent fraudsters are discovered by applying X-means clustering to the phased profiles of their transaction histories. As a result, various strategies can be extracted by such a systematic method and interesting characteristics are found in these strategies. For example, about 80% fraudsters in the Yahoo!Taiwan auction site flip their behavior no more than two times, which is not as complicated as expected originally. Based on these discovered fraudulent statuses, a high-resolution fraud detection method is performed to classify suspects into legitimate users or fraudsters in different statuses, potentially improving overall detection accuracy. A two-way monitoring procedure is then proposed to successively examine the statuses of a suspicious account. Analysis shows that the two-way monitoring method is promising for better detection of well-camouflaged fraudsters.
關鍵字 Early fraud detection; Behavior fluctuation; Clustering; Online auction; E-commerce
語言 en
ISSN 1567-4223
期刊性質 國外
收錄於 SCI SSCI
產學合作
通訊作者 張昭憲
審稿制度 是
國別 NLD
公開徵稿
出版型式 紙本
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