A novel two-stage phased modeling framework for early fraud detection in online auctions

Expert Systems with Applications

Volumn 38, Issue 9, 2011, Pages 11244-11260

  Chang, Wen Hsi ^a   Chang, Jau Shien ^a  

^a TAMKANG UNIVERSITY   (Taiwan)

Author keywords

E commerce; Early detection; Fraud detection; Instance based learning; Online auction

Indexed keywords

E-COMMERCE; EARLY DETECTION; FRAUD DETECTION; INSTANCE-BASED LEARNING; ONLINE AUCTIONS;

CRIME; DISTRIBUTED COMPUTER SYSTEMS; E-LEARNING; ELECTRONIC COMMERCE; ONLINE SYSTEMS; SPEECH RECOGNITION;

COMPUTER CRIME;

EID: 79955627427     PISSN: 09574174     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.eswa.2011.02.172     Document Type: Article

References (37)

1. D. Aha, and D. Kibler Instance-based learning algorithms Machine Learning 6 1991 37 66 (Pubitemid 21727227)
2. Berry, B.; Erdogan, G.; & Trigueiros, D. (1995). Rule induction for financial modeling and model interpretation. In Proceedings of the 28th Hawaii international conference on system sciences (pp. 177-186).
3. Bhattacharjee, R.; & Goel, A. (2005). Avoiding ballot stuffing in eBay-like reputation systems. In SIGCOMM (August) (pp. 133-137). (Pubitemid 41832960)
4. Chau, D. H.; & Faloutsos, C. (2005). Fraud detection in electronic auction. In Proceedings of European web mining forum (EWMF 2005) at ECML/PKDD 2005 (October 3-7).
5. Chau, D. H.; Pandit, S.; & Faloutsos, C. (2006). Detecting fraudulent personalities in networks of online auctioneers. In Proceedings of PKDD 2006 (September 18-22), LNAI (Vol. 4213, pp. 103-114). (Pubitemid 44617716)
6. V. Chandola, A. Banerjee, and V. Kumar Anomaly detection: A survey ACM Computing Surveys 41 3 2009 15 57
7. S. Curry Online auctions: The bizarre bazaar Internet Scambuster 43 1 2001
8. Cleary, J. G.; & Trigg, L. E. (1995). K: An instance-based learner using an entropic distance measure. In Proceedings of the 12th international conference on machine learning (pp. 1-14).
9. Dellarocas, C. (2001). Analyzing the economic efficiency of eBay-like online reputation reporting mechanisms. In EC (October: 2001) (pp. 171-179).
10. eBay Inc. (2009). EBAY 2008 annual report. < http://investor.ebay.com/ annuals.cfm >.
11. B. Gavish, and C. Tucci Reducing internet auction fraud Communications of the ACM 51 5 2008 89 97 (Pubitemid 351690942)
12. C. Giraud-Carrier, and O. Povel Characterising data mining software Intelligent Data Analysis 125 3 2001 1 12
13. Huynh, D.; Jennings, N. R.; & Shadbolt, N. (2004a). Developing an integrated trust and reputation model for open multi-agent systems. In Proceedings of the 7th international workshop on trust in agent societies-autonomous agents & multi-agent systems conference (AAMAS 2004) New York, USA (July 19).
14. Huynh, D.; Jennings, N. R.; & Shadbolt, N. (2004b). FIRE: An integrated trust and reputation model for open multi-agent systems. In Proceedings of the 16th European conference on artificial intelligence, Valencia, Spain (August 23-27).
15. D. Huynh, N.R. Jennings, and N. Shadbolt An integrated trust and reputation model for open multi-agent systems Autonomous Agents and Multi-Agent Systems 13 2 2006 119 154
16. R.J. Kauffman, and C.A. Wood Irregular bidding from opportunism: An exploration of shilling in online auctions Information Systems Research VV 2007 1 36
17. E. Kirkos, C. Spathis, and Y. Manolopoulos Data mining techniques for the detection of fraudulent financial statements Expert Systems with Applications 32 2007 995 1003 (Pubitemid 44821791)
18. M. Kobayashi, and T. Ito A transactional relationship visualization system in internet auctions IEEE Computer Society 2007 248 251 (Pubitemid 351715099)
19. Kobayashi, M.; & Ito, T. (2007b). An approach to implement a trading network visualization system for internet auctions. In Proceedings of the second international conference on knowledge, information and creativity support systems, Ishikawa Japan (KICSS 2007, November 5-7). < http://hdl.handle.net/ 10119/4097 >.
20. M. Kobayashi, and T. Ito A transactional relationship visualization system in internet auctions Electronic Commerce - Studies in Computational Intelligence 110 2008 2008 87 99
21. Y. Ku, Y. Chen, and C. Chiu A proposed data mining approach for internet auction fraud detection Lecture notes in computer science Vol. 4430 2007 Springer 238 243
22. T. Lane, and C. Brodley Temporal sequence learning and data reduction for anomaly detection ACM Transactions on Information and System Security 2 3 1999 295 331
23. E. Marchiori Hit miss networks with application to instance selection Journal of Machine Learning Research 9 2008 997 1017
24. S. Marti, and H. Molina Taxonomy of trust: Categorizing P2P reputation systems Computer Networks 50 4 2006 472
25. National White Collar Crime and the Federal Bureau Investigation. (2009). 2008 Internet crime report - January 1-December 31. 3, < http://www.ic3.gov/media/annualreport/2008-IC3Report.pdf >.
26. Pandit, S.; Chau, D. H.;Wang, S.; & Faloutsos, C. (2007). NetProbe: A fast and scalable system for fraud detection in online auction networks. In Proceedings of the 16th international conference on World Wide Web (WWW'07, May 8-12) (pp. 201-210). (Pubitemid 47582250)
27. Shao, H.; Zhao, H.; & Chang, G. (2002). Applying data mining to detect fraud behavior in customs declaration. In Proceedings of the first international conference on machine learning and cybernetics (November) (pp. 1241-1244).
28. S. Song, K. Hwang, R. Zhou, and Y.K. Kwok Trusted P2P transactions with fuzzy reputation aggregation IEEE Internet Computing 2005 24 34 (Pubitemid 43051365)
29. Swamynathan, G.; Wilson, C.; Boe, B.; Almeroth, K.; Ben, Y.; & Zhao, B. Y. (2008). Do social networks improve e-commerce?: A study on social marketplaces. In Proceedings of the first workshop on online social networks (August 17-22). Seattle, WA, USA.
30. Wang, J.; & Chiu, C. Q. (2005). Detecting online auction inflated-reputation behaviors using social network analysis. In NAACSOS conference 2005 proceedings (June 26-28).
31. C. Wang, C. Chiu, and H. Ker Detecting online auction fraud of reputation inflation through social network structures embedded in transaction records Zi Xun Guan Li Xue Bao: Journal of Information Management 12 4 2005 144 184 (in Chinese)
32. Wang, W.; Mokhtar, M.; & Macaulay, L. (2008). C-index: trust depth, trust breadth, and a collective trust measurement. In Proceedings of the hypertext 2008 workshop on collaboration and collective intelligence (June 19-21). Pittsburgh, PA, US.
33. I.H. Witten, and E. Frank Data mining: Practical machine learning tools and techniques (pp. 321-325) 2005 Morgan Kaufmann San Francisco
34. Yolum, P.; & Singh, M. P. (2003a). Emergent properties of referral systems. In Proceedings of the second international joint conference on autonomous agents and multiagent systems (AAMAS'03: July 14-18) (pp. 592-599).
35. Yu, B.; & Singh, M. P. (2003b). Searching social networks. In Proceedings of the second international joint conference on autonomous agents and multiagent systems, (AAMAS'03: July 14-18) (pp.65-72).
36. Yu, B.; & Singh, M. P. (2003). Detecting deception in reputation management. In Proceedings of the second international joint conference on autonomous agents and multiagent systems, (AAMAS'03: July 14-18) (pp. 73-80).
37. Zhang, B.; Zhou, Y.; & Faloutsos, C. (2008). Toward a comprehensive model in internet auction fraud detection. In Proceedings of the 41st annual Hawaii international conference on system sciences, Waikoloa, HI, USA (January 7-10) (pp. 1-9).