Using Clustering Techniques to Analyze Fraudulent Behavior Changes in Online Auctions
學年 98
學期 2
發表日期 2010-06-11
作品名稱 Using Clustering Techniques to Analyze Fraudulent Behavior Changes in Online Auctions
作品名稱（其他語言）
著者 Chang, Wen-Hsi; Chang, Jau-Shien
作品所屬單位 淡江大學資訊管理學系
出版者 N.Y.: IEEE (Institute of Electrical and Electronic Engineers)
會議名稱 2010 International Conference On Networking and Information Technology (ICNIT 2010)
會議地點 Manila, Philippine
摘要 Schemed fraudsters often flip behavior in terms of circumstances change as camouflage for disguising malicious actions in online auctions. For instance, the fake transaction records interwoven with real trades are indistinguishable from legitimate transaction histories. The ways of fraudulent behavior changes formulate different types of tricks for swindling. To avoid trading with fraudsters, recognizing the types of fraudulent behavior changes in advance is helpful in choosing appropriate trading partners. Therefore, in order to distinguish the types of behavior changes from different fraudsters, clustering techniques were applied such as X-Means for grouping in characteristics. Afterwards, C4.5 decision trees were employed for inducing the rules of the labeled clusters. In this study, the real transaction data of 236 proven fraudsters was collected from Yahoo!Taiwan for testing. The experimental results demonstrate that the fraudsters are categorized into 4 natural groups and the vast majority of fraudster, 93% of fraudsters on average, follows certain default models to develop a scam. The findings of this study also make online auction early fraud detection possible.
關鍵字
語言 en
收錄於
會議性質 國際
校內研討會地點
研討會時間 20100611~20100613
通訊作者
國別 PHL
公開徵稿 Y
出版型式 紙本
出處 2010 International Conference On Networking and Information Technology (ICNIT 2010), pp.34-38
相關連結

機構典藏連結 ( http://tkuir.lib.tku.edu.tw:8080/dspace/handle/987654321/68467 )

機構典藏連結
SDGS 尊嚴就業與經濟發展,產業創新與基礎設施