以社會網路分析與詐騙手法比對建構網拍買賣家導向的詐欺偵測系統

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姓名

宋勇達(Yung-Ta Sung) 查詢紙本館藏

畢業系所

資訊管理學系

論文名稱

以社會網路分析與詐騙手法比對建構網拍買賣家導向的詐欺偵測系統
(Developing an User-oriented Internet Auction Fraud Detection System By Social Network Analysis and Fraud Rules Matching)

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摘要(中)

本研究針對現行的網路拍賣交易評價制度，運用社會網路分析的k-core分群演算法，以及詐欺手法特徵比對的觀念，建構出一個以網拍買賣家為導向的系統，可協助買賣家偵測「哄抬評價」及具有「賣家收款後未交付商品」詐欺特徵的潛伏詐欺者。系統的核心觀念是「以網拍買賣家為導向」，不同於為網拍平臺業者開發的偵測系統，買賣家可以主動且隨時地利用本系統查詢某個帳號的詐欺嫌疑程度，而系統會將帳號再細分成具有或不具有詐欺嫌疑，為系統使用者在拍賣網站的黑名單帳號外提供多一層防護；有經驗的買賣家更可以依據商品特性、本身經驗將系統預設參數進行個人化的調整，讓系統的詐欺偵測規則更貼近他的需求。
系統利用k-core分群演算法分析「交易網路結構」，找出隱藏其中的可疑內聚子群體(cohesive subgroup)，然後分析「交易記錄」做進一步的確認，是一種運用交易網路結構與交易紀錄兩種不同資料類型的哄抬評價偵測方式；而系統對於另一個詐欺手法「賣家收款後未交付商品」的偵測方式，則是挑出六種具針對性的詐欺偵測指標來進行偵測，秉持的觀念是不同的詐欺手法其偵測指標、指標參數、及門檻值設定亦應有所不同，藉由高針對性的指標組合設定，可有效提升系統準確率。

摘要(英)

The research focuses on existing reputation system of the internet auction and an user-oriented internet auction fraud detection system is developed by using k-core clustering algorithm and fraud rules matching. The system helps users to detect fraudsters who may inflate his reputation or receive payment without delivering goods. The core concept of the system is user-oriented, and is very different from the dealer-oriented systems. The fraud degree of some accounts can be queried actively. The accounts can be classified according fraud or not fraud and another protection besides the blacklist will be provided. The detection indices of the system can be adjusted based on the property of goods or an experienced user. Then system will be more fitted.
The k-core clustering algorithm is used to analyze the structure of transaction network and the suspicious cohesive subgroup will be found out. Then transaction records will be analyzed for verification. This is an inflated reputation detection method which combines structure of transaction network and transaction records. As for the fraud of receiving payment without delivering goods, six fraud detection indices is used to detect it. The core concept is each fraud method should have corresponding detection indices and thresholds. The accurate rate can be improved by using high correlation indices.

關鍵字(中)

★ 詐欺手法比對
★ 哄抬評價
★ 網路拍賣詐欺偵測
★ 社會網絡分析

關鍵字(英)

★ fraud rules matching
★ Internet auction fraud detection
★ social network analysis
★ k-core
★ inflated reputation

論文目次

第一章緒論
1-1 研究背景 1
1-2 研究動機 3
1-3 研究目的 4
1-4 研究限制 5
1-5 研究方法 6
第二章文獻探討 7
2-1網路拍賣詐欺犯罪之現況 7
2-2拍賣與拍賣詐欺分類 8
2-2-1網路拍賣詐欺成因與特性 8
2-2-2網路拍賣詐欺類型 9
2-3社會網路分析 12
2-3-1社會網路分析的分析基本單元: 13
2-3-2社會網路分析的種類 14
2-3-3 社會網路分析的分群方法 15
2-3-4分群演算法K-Core 17
2-4詐欺共犯群體之組織特性 18
2-5預防網路拍賣詐欺之相關研究 19
第三章系統分析與設計 21
3-1系統假設 21
3-2實驗對象 22
3-3系統架構 26
3-4詐欺偵測指標之建立與設定 28
第四章系統開發與驗證 35
4-1實驗資料之蒐集 35
4-2系統模組 37
4-3系統流程 44
4-4系統效能 47
4-5系統驗證 49
第五章結論與建議 55
5-1結論與貢獻 55
5-2未來研究發展之建議 57
參考文獻 58
附錄 64
附錄A 哄抬評價案例 64
附錄B 實驗帳號列表 65

參考文獻

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指導教授

薛義誠(Yih-chearing Shiue)

審核日期

2009-6-16

推文