Internet Auction Fraud Accounts Online Real-Time Anomaly Detection System Of The Building

• Main Authors: Ching-Hung Yang, 楊清泓
• Other Authors: Chaochang Chiu
• Format: Others
• Language: zh-TW
• Published: 2011
• Online Access: http://ndltd.ncl.edu.tw/handle/92268020576506842956

碩士 === 元智大學 === 資訊管理學系 === 99 === Internet auction is the most popular trading model in recent years. With the enlarged internet bandwidth and the more and more prevailing internet access facilities, the internet auction market is also growing up year by year, and besides the auctioned items are all-inclusive. At the same time, for the popularity of auction market, the deceptions have also never stopped. Therefore, how to prevent the fraud of internet auction has confronted and tested the internet auction platform providers. Longing for the effectively reduced deception in internet auction, nowadays, the internet auction platform providers all adopt evaluation mechanism to build up a system of mutual trust mechanism between the sellers and buyers, and thus promoting the trusts of both sellers and buyers to the transaction platform. The purpose of this thesis is to construct a prompt online detection system for suspected abnormal account in internet auction through the Social Network Analysis by taking advantage of the transaction information offered by the platform providers. Besides of the currently existing evaluation mechanism of transaction platform, both sellers and buyers can have another information system in inspecting the transaction condition of opposite party, so as to prevent from the transaction with suspected account. In this thesis, the transaction evaluation information of online auction and the information about the auctioned products are retrieved from Yahoo! auction automatically, and then the proposed Social Network Analysis Measure and the Releated Measure are used for the experiment and verification. To get the information, a system of Auction Crawler Services is designed, which can automatically download all the required information from the auction website. Through the set of proxy check list, the multi-thread data acquisition is performed, and the acquired transaction information is investigated via the using of J48 Data mining, so as to find out a classification group of fraud investigation. The classification group then can be adopted to check and determine the possibility in deceit of transaction account.