會議論文
學年 | 98 |
---|---|
學期 | 2 |
發表日期 | 2010-06-22 |
作品名稱 | An Online Auction Fraud Screening Mechanism for Choosing Trading Partners |
作品名稱(其他語言) | |
著者 | 張文熙; 張昭憲 |
作品所屬單位 | 淡江大學資訊管理學系 |
出版者 | IEEE |
會議名稱 | Education Technology and Computer (ICETC), 2010 2nd International Conference on (Volume:5) |
會議地點 | Shanghai, China |
摘要 | Online auction has become one of the most successful e-business models and created tremendous turnover rate for years. The large amount of monetary profit appeals fraudsters to step into online auctions. These fraudsters manipulate reputation systems to fabricate positive feedback score for attracting naive traders. Notwithstanding the vast majority of accounts are legitimate users, a tiny number of fraudsters threat the rest of legitimate trading participants severely. Thus, online auction fraud detection is treated as a kind of anomaly detection problem that is not as easy as expected. In general, a suspect was insufficiently judged as a fraudster without any actual victim as evidence. To reduce the risk of being defrauded, traders are necessary to have an assistant for choosing reliable trading partners. This paper proposed a mechanism based on instance-based learning to screen the transaction histories of trading partner candidates for estimating the risk of being defrauding. We downloaded real transaction histories from Yahoo!Taiwan for testing in this study. The experimental results show the recall rate of identifying potential fraudsters is 84%. |
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 | 20100622~20100624 |
通訊作者 | |
國別 | CHN |
公開徵稿 | Y |
出版型式 | 紙本 |
出處 | Education Technology and Computer (ICETC), 2010 2nd International Conference on (Volume:5), pp.56-60 |
相關連結 |
機構典藏連結 ( http://tkuir.lib.tku.edu.tw:8080/dspace/handle/987654321/68414 ) |