關鍵字查詢 | 類別:期刊論文 | | 關鍵字:Analysis of fraudulent behavior strategies in online auctions for detecting latent fraudsters

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序號 學年期 教師動態
1 102/2 資管系 張昭憲 副教授 期刊論文 發佈 Analysis of fraudulent behavior strategies in online auctions for detecting latent fraudsters , [102-2] :Analysis of fraudulent behavior strategies in online auctions for detecting latent fraudsters期刊論文Analysis of fraudulent behavior strategies in online auctions for detecting latent fraudstersChang, Jau-Shien; Chang, Wen-Hsi淡江大學資訊管理學系Early fraud detection; Behavior fluctuation; Clustering; Online auction; E-commerceAmsterdam: Elsevier BVElectronic Commerce Research and Applications 13(2), pp.79–97Online 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
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