Browse > Article

Anti-Fraud System for Credit Card By Using Hybrid Technique  

조문배 (경북대학교 전자공학과)
박길흠 (경북대학교 전자공학과)
Publication Information
Abstract
An anti-fraud system that utilizes association rules of fraud as well as AFS (Anti Fraud System) for credit card payments in e-commerce is proposed. The association rules are found by applying the data mining algorithm to millions of transaction records that have been generated as a result of orders on goods through the Internet. When a customer begins to process an order by using transaction components of a secure messaging protocol, the degree of risk for the transaction is assessed by using the found rules. More credit information will be requested or the transaction is rejected if it is interpreted as risky.
Keywords
Anti-fraud Screening System; Address Verification System; Datamining; Association Rule; Direct Hashing and Pruning;
Citations & Related Records
연도 인용수 순위
  • Reference
1 Lisa, M. Sas, K., No. 82 Aid Auditors in Financial Statement Fraud Detection?, University Of Colorado Boulder, DAI-A 58/07, p. 2732, Jan 1998
2 Charles, C. Steve, S., A Critical Examination of Reengineered Audit Processes and The Likelihood of Detecting Fraud, No.3, pp. 297-310, 2002
3 Rosset, S. Murad, U. Neumann, E. Idan, Y. and Pinkas, G., Discovery of Fraud Rules for Telecommunications-Challenges and Solutions, ACM Press, New York, USA, pp. 409 - 413, Series- Proceeding-Article, Year of Publication, 1999   DOI
4 Bonchi, F. Giannotti, F. Mainetto, G. and Pedreschi, D., A classification-based Methodology for Planning Audit Strategies in Fraud Detection, ACM Press New York, NY, USA, pp. 175 - 184, Series-Proceeding-Article Year of Publication, 1999   DOI
5 J.S. Park, M. Chen, and P.S. Yu., Using a Hash-Based Method with Transaction Trimming for Mining Association Rules, IEEE Transactions on Knowledge and Data Engineering, Vol. 9, No.5, pp.813-825, Sept. 1997.   DOI   ScienceOn
6 Tse-Hua, Lan. and Ahmed, H., Fraud Detection and Self Embedding, ACM Press New York, NY, USA, pp. 33 - 36, Series-Proceeding-Article Year of Publication, 1999   DOI
7 Rosset, S. Murad, U. Neumann, E. Idan, Y. and Pinkas, G., Discovery of Fraud Rules for Telecommunications-Challenges and Solutions, ACM Press New York, USA, pp 409 - 413, Series - Proceeding-Article Year of Publication, 1999   DOI
8 Soheila, E., The Enhancement of Credit Card Fraud Detection Systems Using Machine Learning Methodology, University Of Toronto (Canada), Mai, 38/06, p. 1640, Dec 2000
9 Agrawal, R. Mannila, H. Srikant, R. Toivonen, H. and A.I. Verkamo, Fast Discovery of Association Rules, In Advances in Knowledge Discovery and Data Mining, U.M. Fayyad, Piatetsky-Shapiro, G. Smith, P. and Uthurusamy, R. ed., AAAI Press/The MIT Press, pp. 307-328, 1996
10 J. Han, and Kamber, M., Data Mining: Concepts and Techniques, Morgan Kaufmann Publishers, 2000
11 Master Card International s., The Developments of the SET Protocol, Internet URL < http://www.mastercard.com/set/>
12 Provost, F. and Fawcett, T., Robust Classification for Imprecise Environments. In: Machine Learning, Vol. 42, No. 3, pp. 203-231, 2001   DOI
13 Stolfo, S. Fan, W. Lee, W. Prodromidis, A. and Chan, P., Cost-Based Modeling for Fraud and Instruction Detection: Results from the JAM Project, Proc. DARPA Information Survivability Conference and Exposition, IEEE Computer Press, pp.l30-144, 2000
14 Glasheen, C. and Dowling, S., Increasing Internet Sales, Comm. IDC, Bulletin #W25213 - July 2001, Internet URL
15 Merchant Works., E-commerce Glossary, Internet URL
16 Verisign White Paper., Alternative Approaches to Managing Fraud, Internet URL
17 송용욱, 성기윤, 인터넷상의 전자 지불 시스템, Biz-on-Net, pp. 298-299, Internet URL
18 Information Technology OSI Systems Management., Objects and Attributes for Access Control, ISO/IEC 10164-9, JTC1, 1995
19 P.K. Chan, and Fan, W., Distributed Data Mining in Credit Card Fraud Detection, IEEE Intelligent Systems, November/December 1999, pp. 67-74   DOI   ScienceOn
20 SAS Institute Inc., Using Data Mining Techniques for Fraud Detection: A Best Practices Approach to Government Technology Solutions, Internet URL