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Volumn 17, Issue 3, 2002, Pages 235-255

Statistical fraud detection: A review

Author keywords

Computer intrusion; Credit cards; E commerce; Fraud detection; Fraud prevention; Machine learning; Money laundering; Statistics; Telecommunications

Indexed keywords


EID: 0042421807     PISSN: 08834237     EISSN: None     Source Type: Journal    
DOI: 10.1214/ss/1042727940     Document Type: Review
Times cited : (975)

References (98)
  • 2
    • 0041960001 scopus 로고    scopus 로고
    • A day in the life of a Medicaid fraud statistician
    • ALLEN, T. (2000). A day in the life of a Medicaid fraud statistician. Stats 29 20-22.
    • (2000) Stats , vol.29 , pp. 20-22
    • Allen, T.1
  • 5
    • 0042460592 scopus 로고    scopus 로고
    • Modelling different types of automobile insurance fraud behaviour in the Spanish market
    • ARTÍS, M., AYUSO, M. and GUILLÉN, M. (1999). Modelling different types of automobile insurance fraud behaviour in the Spanish market. Insurance Mathematics and Economics 24 67-81.
    • (1999) Insurance Mathematics and Economics , vol.24 , pp. 67-81
    • Artís, M.1    Ayuso, M.2    Guillén, M.3
  • 6
    • 0033472954 scopus 로고    scopus 로고
    • Extremal analysis of short series with outliers: Sea-levels and athletics records
    • BARAO, M. I. and TAWN, J. A. (1999) Extremal analysis of short series with outliers: Sea-levels and athletics records. Appl. Statist. 48 469-487.
    • (1999) Appl. Statist. , vol.48 , pp. 469-487
    • Barao, M.I.1    Tawn, J.A.2
  • 7
    • 0004310565 scopus 로고    scopus 로고
    • Technical report, Dept. Mathematics, Imperial College, London
    • BLUNT, G. and HAND, D. J. (2000). The UK credit card market. Technical report, Dept. Mathematics, Imperial College, London.
    • (2000) The UK Credit Card Market
    • Blunt, G.1    Hand, D.J.2
  • 11
    • 0001040806 scopus 로고    scopus 로고
    • Using Kohonen's self-organising feature map to uncover automobile bodily injury claims fraud
    • BROCKETT, P. L., XIA, X. and DERRIG, R. A. (1998). Using Kohonen's self-organising feature map to uncover automobile bodily injury claims fraud. The Journal of Risk and Insurance 65 245-274.
    • (1998) The Journal of Risk and Insurance , vol.65 , pp. 245-274
    • Brockett, P.L.1    Xia, X.2    Derrig, R.A.3
  • 14
    • 0041960000 scopus 로고    scopus 로고
    • Detecting fraud in the real world
    • (J. Abello, P. M. Pardalos and M. G. C. Resende, eds.). Kluwer, Dordrecht
    • CAHILL, M. H., LAMBERT, D., PINHEIRO, J. C. and SUN, D. X. (2002). Detecting fraud in the real world. In Handbook of Massive Datasets (J. Abello, P. M. Pardalos and M. G. C. Resende, eds.). Kluwer, Dordrecht.
    • (2002) Handbook of Massive Datasets
    • Cahill, M.H.1    Lambert, D.2    Pinheiro, J.C.3    Sun, D.X.4
  • 16
    • 85083464467 scopus 로고    scopus 로고
    • Toward scalable learning with non-uniform class and cost distributions: A case study in credit card fraud detection
    • AAAI Press, Menlo Park, CA
    • CHAN, P. and STOLFO, S. (1998). Toward scalable learning with non-uniform class and cost distributions: A case study in credit card fraud detection. In Proceedings of the Fourth International Conference on Knowledge Discovery and Data Mining 164-168. AAAI Press, Menlo Park, CA.
    • (1998) Proceedings of the Fourth International Conference on Knowledge Discovery and Data Mining , pp. 164-168
    • Chan, P.1    Stolfo, S.2
  • 17
    • 0041959999 scopus 로고    scopus 로고
    • Money laundering detection with a neural network
    • (P. J. G. Lisboa, A. Vellido and B. Edisbury, eds.) World Scientific, Singapore
    • CHARTIER, B. and SPILLANE, T. (2000). Money laundering detection with a neural network. In Business Applications of Neural Networks (P. J. G. Lisboa, A. Vellido and B. Edisbury, eds.) 159-172. World Scientific, Singapore.
    • (2000) Business Applications of Neural Networks , pp. 159-172
    • Chartier, B.1    Spillane, T.2
  • 18
    • 0011210217 scopus 로고
    • Linear discriminant analysis with misallocation in training samples
    • CHHIKARA, R. S. and MCKEON, J. (1984). Linear discriminant analysis with misallocation in training samples. J. Amer. Statist. Assoc. 79 899-906.
    • (1984) J. Amer. Statist. Assoc. , vol.79 , pp. 899-906
    • Chhikara, R.S.1    Mckeon, J.2
  • 19
    • 34249966007 scopus 로고
    • The CN2 induction algorithm
    • CLARK, P. and NIBLETT, T. (1989). The CN2 induction algorithm. Machine Learning 3 261-285.
    • (1989) Machine Learning , vol.3 , pp. 261-285
    • Clark, P.1    Niblett, T.2
  • 26
    • 2342452154 scopus 로고    scopus 로고
    • Cyberspace attacks and countermeasures
    • (D. E. Denning and P. J. Denning, eds.) ACM Press, New York
    • DENNING, D. E. (1997). Cyberspace attacks and countermeasures. In Internet Besieged (D. E. Denning and P. J. Denning, eds.) 29-55. ACM Press, New York.
    • (1997) Internet Besieged , pp. 29-55
    • Denning, D.E.1
  • 33
    • 0027986244 scopus 로고
    • Credit card fraud detection with a neural network
    • (J. F. Nunamaker and R. H. Sprague, eds.) IEEE Computer Society Press, Los Alamitos, CA
    • GHOSH, S. and REILLY, D. L. (1994). Credit card fraud detection with a neural network. In Proceedings of the 27th Hawaii International Conference on System Sciences (J. F. Nunamaker and R. H. Sprague, eds.) 3 621-630. IEEE Computer Society Press, Los Alamitos, CA.
    • (1994) Proceedings of the 27th Hawaii International Conference on System Sciences , vol.3 , pp. 621-630
    • Ghosh, S.1    Reilly, D.L.2
  • 37
    • 0041959996 scopus 로고    scopus 로고
    • The FinCEN AI system: Finding financial crimes in a large database of cash transactions
    • (N. Jennings and M. Wooldridge, eds.) Springer, Berlin
    • GOLDBERG, H. and SENATOR, T. E. (1998). The FinCEN AI system: Finding financial crimes in a large database of cash transactions. In Agent Technology: Foundations, Applications, and Markets (N. Jennings and M. Wooldridge, eds.) 283-302. Springer, Berlin.
    • (1998) Agent Technology: Foundations, Applications, and Markets , pp. 283-302
    • Goldberg, H.1    Senator, T.E.2
  • 38
    • 17144412609 scopus 로고    scopus 로고
    • Assessing the risk of management fraud through neural network technology
    • GREEN, B. P. and CHOI, J. H. (1997). Assessing the risk of management fraud through neural network technology. Auditing 16 14-28.
    • (1997) Auditing , vol.16 , pp. 14-28
    • Green, B.P.1    Choi, J.H.2
  • 42
    • 0000776603 scopus 로고    scopus 로고
    • Data mining for fun and profit (with discussion)
    • HAND, D. J., BLUNT, G., KELLY, M. G. and ADAMS, N. M. (2000). Data mining for fun and profit (with discussion). Statist. Sci. 15 111-131.
    • (2000) Statist. Sci. , vol.15 , pp. 111-131
    • Hand, D.J.1    Blunt, G.2    Kelly, M.G.3    Adams, N.M.4
  • 43
    • 0040453788 scopus 로고    scopus 로고
    • Statistical classification methods in consumer credit scoring: A review
    • HAND, D. J. and HENLEY, W. E. (1997). Statistical classification methods in consumer credit scoring: A review. J. Roy. Statist. Soc. Ser. A 160 523-541.
    • (1997) J. Roy. Statist. Soc. Ser. A , vol.160 , pp. 523-541
    • Hand, D.J.1    Henley, W.E.2
  • 44
    • 0013325845 scopus 로고    scopus 로고
    • Detecting payment card fraud with neural networks
    • (P. J. G. Lisboa, A. Vellido and B. Edisbury, eds.). World Scientific, Singapore
    • HASSIBI, K. (2000). Detecting payment card fraud with neural networks. In Business Applications of Neural Networks (P. J. G. Lisboa, A. Vellido and B. Edisbury, eds.). World Scientific, Singapore.
    • (2000) Business Applications of Neural Networks
    • Hassibi, K.1
  • 45
    • 84956864676 scopus 로고    scopus 로고
    • Application of genetic algorithm and k-nearest neighbour method in medical fraud detection
    • Springer, Berlin
    • HE, H., GRACO, W. and YAO, X. (1999). Application of genetic algorithm and k-nearest neighbour method in medical fraud detection. Lecture Notes in Comput. Sci. 1585 74-81. Springer, Berlin.
    • (1999) Lecture Notes in Comput. Sci. , vol.1585 , pp. 74-81
    • He, H.1    Graco, W.2    Yao, X.3
  • 47
    • 84972541029 scopus 로고
    • A statistical derivation of the significant-digit law
    • HILL, T. P. (1995). A statistical derivation of the significant-digit law. Statist. Sci. 10 354-363.
    • (1995) Statist. Sci. , vol.10 , pp. 354-363
    • Hill, T.P.1
  • 48
    • 0042460591 scopus 로고    scopus 로고
    • Experiences in mobile phone fraud
    • Report Tik-110.501, Helsinki Univ. Technology
    • HYNNINEN, J. (2000). Experiences in mobile phone fraud. Seminar on Network Security. Report Tik-110.501, Helsinki Univ. Technology.
    • (2000) Seminar on Network Security
    • Hynninen, J.1
  • 49
    • 0041959997 scopus 로고    scopus 로고
    • Getting smart with fraudsters
    • JENKINS, P. (2000). Getting smart with fraudsters. Financial Times, September 23.
    • (2000) Financial Times , vol.SEPTEMBER , pp. 23
    • Jenkins, P.1
  • 50
    • 0042961674 scopus 로고    scopus 로고
    • Prospective assessment of AI technologies for fraud detection: A case study
    • AAAI Press, Menlo Park, CA
    • JENSEN, D. (1997). Prospective assessment of AI technologies for fraud detection: a case study. In AAAI Workshop on AI Approaches to Fraud Detection and Risk Management 34-38. AAAI Press, Menlo Park, CA.
    • (1997) AAAI Workshop on AI Approaches to Fraud Detection and Risk Management , pp. 34-38
    • Jensen, D.1
  • 51
    • 0035616570 scopus 로고    scopus 로고
    • A hybrid high-order Markov chain model for computer intrusion detection
    • JU, W.-H. and VARDI, Y. (2001). A hybrid high-order Markov chain model for computer intrusion detection. J. Comput. Graph. Statist. 10 277-295.
    • (2001) J. Comput. Graph. Statist. , vol.10 , pp. 277-295
    • Ju, W.-H.1    Vardi, Y.2
  • 53
    • 0031233430 scopus 로고    scopus 로고
    • Intrusion detection via system call traces
    • KOSORESOW, A. P. and HOFMEYR, S. A. (1997). Intrusion detection via system call traces. IEEE Software 14 35-12.
    • (1997) IEEE Software , vol.14 , pp. 35-112
    • Kosoresow, A.P.1    Hofmeyr, S.A.2
  • 55
    • 0001385070 scopus 로고
    • Discriminant analysis when the initial samples are misclassified
    • LACHENBRUCH, P. A. (1966). Discriminant analysis when the initial samples are misclassified. Technometrics 8 657-662.
    • (1966) Technometrics , vol.8 , pp. 657-662
    • Lachenbruch, P.A.1
  • 56
    • 0016093646 scopus 로고
    • Discriminant analysis when the initial samples are misclassified. II: Non-random misclassification models
    • LACHENBRUCH, P. A. (1974). Discriminant analysis when the initial samples are misclassified. II: Non-random misclassification models. Technometrics 16 419-424.
    • (1974) Technometrics , vol.16 , pp. 419-424
    • Lachenbruch, P.A.1
  • 58
    • 85084163349 scopus 로고    scopus 로고
    • Data mining approaches for intrusion detection
    • San Antonio, TX USENIX Association, Berkeley, CA
    • LEE, W. and STOLFO, S. (1998). Data mining approaches for intrusion detection. In Proceedings of the 7th USENIX Security Symposium, San Antonio, TX 79-93. USENIX Association, Berkeley, CA.
    • (1998) Proceedings of the 7th USENIX Security Symposium , pp. 79-93
    • Lee, W.1    Stolfo, S.2
  • 59
    • 0040911818 scopus 로고
    • Detecting credit card fraud using expert systems
    • LEONARD, K. J. (1993). Detecting credit card fraud using expert systems. Computers and Industrial Engineering 25 103-106.
    • (1993) Computers and Industrial Engineering , vol.25 , pp. 103-106
    • Leonard, K.J.1
  • 61
    • 0026912635 scopus 로고
    • EFD: A hybrid knowledge/statistical-based system for the detection of fraud
    • MAJOR, J. A. and RIEDINGER, D. R. (1992). EFD: A hybrid knowledge/statistical-based system for the detection of fraud. International Journal of Intelligent Systems 7 687-703.
    • (1992) International Journal of Intelligent Systems , vol.7 , pp. 687-703
    • Major, J.A.1    Riedinger, D.R.2
  • 63
    • 85009979512 scopus 로고    scopus 로고
    • Phenomenal data mining
    • MCCARTHY, J. (2000). Phenomenal data mining. Comm. ACM 43 75-79.
    • (2000) Comm. ACM , vol.43 , pp. 75-79
    • Mccarthy, J.1
  • 65
    • 0042961673 scopus 로고    scopus 로고
    • New IP world, new dangers
    • MOBILE EUROPE (2000). New IP world, new dangers. Mobile Europe, March.
    • (2000) Mobile Europe , vol.MARCH
  • 69
    • 0042961671 scopus 로고    scopus 로고
    • Report. Neural Technologies, Ltd., Petersfield, U.K.
    • NEURAL TECHNOLOGIES (2000). Reducing telecoms fraud and churn. Report. Neural Technologies, Ltd., Petersfield, U.K.
    • (2000) Reducing Telecoms Fraud and Churn
  • 72
    • 0042961668 scopus 로고    scopus 로고
    • Nortel networks fraud solutions
    • Nortel Networks Corporation
    • NORTEL (2000). Nortel networks fraud solutions. Fraud Primer, Issue 2.0. Nortel Networks Corporation.
    • (2000) Fraud Primer, Issue 2.0
  • 73
    • 0042460588 scopus 로고
    • A statistical analysis of the U.S. Merchandise Trade Database and its uses in transfer pricing compliance and enforcement
    • PAK, S. J. and ZDANOWICZ, J. S. (1994). A statistical analysis of the U.S. Merchandise Trade Database and its uses in transfer pricing compliance and enforcement. Tax Management, May 11.
    • (1994) Tax Management , vol.MAY , pp. 11
    • Pak, S.J.1    Zdanowicz, J.S.2
  • 74
    • 0041458678 scopus 로고    scopus 로고
    • Reducing online credit card fraud
    • PATIENT, S. (2000). Reducing online credit card fraud. Web Developer's Journal. Available at http://www. webdevelopersjournal.com/articles/card_fraud.html
    • (2000) Web Developer's Journal
    • Patient, S.1
  • 76
    • 0035283313 scopus 로고    scopus 로고
    • Robust classification for imprecise environments
    • PROVOST, F. and FAWCETT, T. (2001). Robust classification for imprecise environments. Machine Learning 42 203-210.
    • (2001) Machine Learning , vol.42 , pp. 203-210
    • Provost, F.1    Fawcett, T.2
  • 78
    • 0001172265 scopus 로고
    • Learning logical definitions from relations
    • QUINLAN, J. R. (1990). Learning logical definitions from relations. Machine Learning 5 239-266.
    • (1990) Machine Learning , vol.5 , pp. 239-266
    • Quinlan, J.R.1
  • 81
    • 21844509643 scopus 로고
    • Statistics for exceptional athletics records
    • ROBINSON, M. E. and TAWN, J. A. (1995). Statistics for exceptional athletics records. Appl. Statist. 44 499-511.
    • (1995) Appl. Statist. , vol.44 , pp. 499-511
    • Robinson, M.E.1    Tawn, J.A.2
  • 85
    • 0034592921 scopus 로고    scopus 로고
    • Ongoing management and application of discovered knowledge in a large regulatory organization: A case study of the use and impact of NASD regulation's advanced detection system (ADS)
    • ACM Press, New York
    • SENATOR, T. E. (2000). Ongoing management and application of discovered knowledge in a large regulatory organization: A case study of the use and impact of NASD regulation's advanced detection system (ADS). In Proceedings of the Sixth ACM SIGKDD International Conference on Knowledge Discovery and Data Mining 44-53. ACM Press, New York.
    • (2000) Proceedings of the Sixth ACM SIGKDD International Conference on Knowledge Discovery and Data Mining , pp. 44-53
    • Senator, T.E.1
  • 87
    • 0042961665 scopus 로고    scopus 로고
    • Novel techniques for profiling and fraud detection in mobile telecommunications
    • (P. J. G. Lisboa, A. Vellido and B.Edisbury, eds.) World Scientific, Singapore
    • SHAWE-TAYLOR, J., HOWKER, K., COSSET, P., HYLAND, M., VERRELST, H., MOREAU, Y., STOERMANN, C. and BURGE, P. (2000). Novel techniques for profiling and fraud detection in mobile telecommunications. In Business Applications of Neural Networks (P. J. G. Lisboa, A. Vellido and B.Edisbury, eds.) 113-139. World Scientific, Singapore.
    • (2000) Business Applications of Neural Networks , pp. 113-139
    • Shawe-Taylor, J.1    Howker, K.2    Cosset, P.3    Hyland, M.4    Verrelst, H.5    Moreau, Y.6    Stoermann, C.7    Burge, P.8
  • 90
    • 0031335009 scopus 로고    scopus 로고
    • Statistics for exceptional athletics records
    • by M. E. Robinson and J. A. Tawn
    • SMITH, R. L. (1997). Comment on "Statistics for exceptional athletics records," by M. E. Robinson and J. A. Tawn. Appl. Statist. 46 123-128.
    • (1997) Appl. Statist. , vol.46 , pp. 123-128
    • Smith, R.L.1
  • 95
    • 9444255399 scopus 로고
    • Office of Technology Assessment, Report OTA-ITC-630, U.S. Government Printing Office, Washington, DC
    • U.S. CONGRESS (1995). Information technologies for the control of money laundering. Office of Technology Assessment, Report OTA-ITC-630, U.S. Government Printing Office, Washington, DC.
    • (1995) Information Technologies for the Control of Money Laundering
  • 98
    • 0033705131 scopus 로고    scopus 로고
    • Multiple algorithms for fraud detection
    • WHEELER, R. and AITKEN, S. (2000). Multiple algorithms for fraud detection. Knowledge-Based Systems 13(2/3) 93-99.
    • (2000) Knowledge-Based Systems , vol.13 , Issue.2-3 , pp. 93-99
    • Wheeler, R.1    Aitken, S.2


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