Advanced SearchSearch Tips
A Survey of Fraud Detection Research based on Transaction Analysis and Data Mining Technique
facebook(new window)  Pirnt(new window) E-mail(new window) Excel Download
 Title & Authors
A Survey of Fraud Detection Research based on Transaction Analysis and Data Mining Technique
Jeong, Seong Hoon; Kim, Hana; Shin, Youngsang; Lee, Taejin; Kim, Huy Kang;
  PDF(new window)
Due to a rapid advancement in the electronic commerce technology, the payment method varies from cash to electronic settlement such as credit card, mobile payment and mobile application card. Therefore, financial fraud is increasing notably for a purpose of personal gain. In response, financial companies are building the FDS (Fraud Detection System) to protect consumers from fraudulent transactions. The one of the goals of FDS is identifying the fraudulent transaction with high accuracy by analyzing transaction data and personal information in real-time. Data mining techniques are providing great aid in financial accounting fraud detection, so it have been applied most extensively to provide primary solutions to the problems. In this paper, we try to provide an overview of the research on data mining based fraud detection. Also, we classify researches under few criteria such as data set, data mining algorithm and viewpoint of research.
Survey;Categorization;Financial Fraud;Fraud Detection;Data Mining;Credit Card;
 Cited by
모바일 결제 환경에서의 데이터마이닝을 이용한 이상거래 탐지 시스템,한희찬;김하나;김휘강;

정보보호학회논문지, 2016. vol.26. 6, pp.1527-1537 crossref(new window)
Fraud Detection System in Mobile Payment Service Using Data Mining, Journal of the Korea Institute of Information Security and Cryptology, 2016, 26, 6, 1527  crossref(new windwow)
Gyusoo Kim and Seulgi Lee, "2014 Payment Research," Bank of Korea, Vol. 2015, No. 1, Jan. 2015.

Yunhwa Lim, "Research of Statistics and Countermeasure about Credit Card Fraud," The Credit Finance Research Institute, Vol. 2015, No. 16, Nov. 2015.

Financial supervisory service, "Electronic Fraud Prevention Services," May. 2013.

E.W.T. Nagi, Yong Hu, H.Y. Wong, Yijun Chen, Xin Sun, "The Application of Data Mining Techniques in Financial Fraud Detection: A Classification Framework and an Academic Review of Literature," Decision Support Systems, Vol. 50, No. 3, Feb. 2011.

Jha, Sanjeev, J. Christopher Westland, "A Descriptive Study of Credit Card Fraud Pattern," Global Business Review, Vol. 14, No. 3, pp. 373-384, 2015.

Edge, Michael Edward, Pedro R. Falcone Sampaio, "A Survey of Signature based Methods for Financial Fraud Detection," Computers & Security, Vol. 28 No. 6, pp. 381-394. 2009. crossref(new window)

Peter J. Bentley, Jungwon Kim, Gil-Ho Jung, Jong-Uk Choi, "Fuzzy Darwinian Detection of Credit Card Fraud," The 14th Annual Fall Symposium of the Korean Information Processing Society, Oct. 2000.

Sam Maes, Karl Tuyls, Bram Vanschoenwinkel, Bernard manderick, "Credit Card Fraud Detection Using Bayesian and Neural Networks," Proceedings of the 1st International Naiso Congress on Neuro Fuzzy Technologies, Jan. 2002.

Manoel Fernando Alonso Gadi, Xidi Wang, Alair Pereira do Lago, "Credit Card Fraud Detection with Artificial Immune System," Artificial Immune Systems, pp. 119-131, 2008.

Jon T.S. Quah, M. Sriganesh, "Real-time Credit Card Fraud Detection using Computational Intelligence," Expert Systems with Applications, Vol. 35, No. 4, pp. 1721-1732, Nov. 2008. crossref(new window)

C. Whitrow, D.J. Hand, P. Juszczak, D. Weston, N.M. Adams, "Transaction Aggregation as a Strategy for Credit Card Fraud Detection," Data Mining and Knowledge Discovery, Vol. 18, No. 1, pp. 30-55, Feb. 2009. crossref(new window)

D. Sancheza, M.A. Vilaa, L. Cerdaa, J.M. Serranob, "Association Rules applied to Credit Card Fraud Detection," Expert Systems with Applications, Vol. 36, No. 2, pp. 3630-3640, Mar. 2009. crossref(new window)

Siddhartha Bhattacharyyaa, Sanjeev Jhab, Kurian Tharakunnelc, J. Christopher, "Data Mining for Credit Card Fraud: A Comparative Study," Decision Support System, Vol. 50, No. 3, pp. 602-613, Feb. 2011. crossref(new window)

S.B.E. Raj, A.A. Portia, "Analysis on Credit Card Fraud Detection Methods," Computer, Communication and Electrical Technology (ICCCET) 2011 International Conference on, pp. 152-156, Mar. 2011.

Raghavendra Patidar, Lokesh Sharma, "Credit Card Fraud Detection using Neural Network," International Journal of Soft Computing and Engineering (IJSCE), pp. 33-38, 2011.

V. Bhusari, S. Patill, "Study of Hidden Markov Model in Credit Card Fraudulent Detection," International Journal of Computer Applications, Vol. 20, No. 5, Apr. 2011.

V.R. Ganji, S.N.P. Mannem, "Credit Card Fraud Detection using Anti-k Nearest Neighbour Algorithm," International Journal on Computer Science and Engineering, Vol. 4, No. 6, pp. 1035-1039, Jan. 2012.

Neda Soltani, Mohammad Kazem Akbari, Mortaza Sargolzaei Javan, "A New User-Based Model for Credit Card Fraud Detection Based on Artificial Immune System," Artificial Intelligence and Signal Processing (AISP), 2012 16th CSI International Symposium on IEEE, May. 2012

A.D. Pozzoloa, O. Caelenb, Y.A.L. Borgnea, S. Waterschootb, G. Bontempia, "Learned Lessons in Credit Card Fraud Detection from a Practitioner Perspective," Expert Systems with Applications, Vol. 41, No. 10, pp. 4915-4928, Aug. 2014. crossref(new window)

Nader Mahmoudi, Ekrem Duman, "Detecting Credit Card Fraud by Modified Fisher Discriminant Analysis," Expert Systems with Applications, Vol. 42, No. 5, pp. 2510-2516, Apr. 2015. crossref(new window)

Ivo Correia, Fabiana Fournier, Inna Skarbovsky, "The Uncertain Case of Credit Card Fraud Detection," Proceedings of the 9th ACM International Conference on Distributed Event-Based Systems, pp. 181-192, 2015.

Ganesh Kumar.Nune and P.Vasanth Sena, "Novel Artificial Neural Networks and Logistic Approach for Detecting Credit Card Deceit," International Journal of Computer Science and Network Security, Vol. 15, No. 9, Sep. 2015.

Aihua Shen, Rencheng Tong, Yaochen Deng, "Application of Classification Models on Credit Card Fraud Detection," Service Systems and Service Management of the 2007 IEEE International Conference, pp. 1-4, Jun. 2007.

Massoud Vadoodparast, Abdul Razak Hamdan, Hafiz, "Fraudulent Electronic Transaction Detection using Dynamic KDA Model," International Journal of Computer Science and Information Security, Vol. 13, No. 3, pp. 90-99, Mar. 2015.

Chengwei Liu, Yixiang Chan, Syed Hasnain Alam Kazmi, Hao Fu, "Financial Fraud Detection Model: Based on Random Forest," International Journal of Economics and Finance, Vol. 7, No. 7, pp. 178-188, 2015. crossref(new window)

Jae Hoon Park, Huy Kang Kim, Eunjin Kim, "Effective Normalization Method for Fraud Detection Using a Decision Tree," Journal of the Korea Institute of Information Security and Cryptology, Vol. 25, No. 1, pp. 133-146, Feb. 2015. crossref(new window)

Vladimir Zaslavsky and Anna Strizhak, Credit card fraud detection using self-organizing maps, Information and Security, Vol. 18, pp. 48-63, 2006.

Abhinav Srivastava, Amlan Kundu, Shamik Sural, "Credit Card Fraud Detection using Hidden Markov Model," Dependable and Secure Computing, Vol. 5, No. 1, pp. 37-48, Jan. 2008. crossref(new window)

Nicholas Patterson, Michael Hobbs, Jemal Abawajy, "Virtual Property Theft Detection Framework: An Algorithm to Detect Virtual Property Theft in Virtual World Environments," Trust, Security and Privacy in Computing and Communications on IEEE, pp. 177-184, Jun. 2012.

Ashphak Khan, Tejpal Singh, Amit Sinhal, "Implement Credit Card Fraudulent Detection System using Observation Probabilistic in Hidden Markov Model," Engineering (NUiCONE), 2012 Nirma University International Conference on IEEE, pp. 1-6, Dec. 2012.

Wee-Yong Lim, Amit Sachan, Vrizlynn Thing, "Conditional Weighted Transaction Aggregation for Credit Card Fraud Detection," Advances in Digital Forensics X. pp. 3-16, 2014.

K.R. Seeja and Masoumeh Zareapoor, "FraudMiner: A Novel Credit Card Fraud Detection Model based on Frequent Itemset Mining," The Scientific World Journal, Vol. 2014, Sep. 2014.

Luigi Coppolino, Salvatore D'Antonio, Valerio Formicola, Carmine Massei, Luigi Romano, "Use of the Dempster-Shafer Theory for Fraud Detection: The Mobile Money Transfer Case Study," Intelligent Distributed Computing VIII, pp. 465-474, 2015.

Hee Yeon Min, Jin Hyung Park, Dong Hoon Lee, In Seok Kim, "Outlier Detection Method for Mobile Banking with User Input Pattern and E-finance Transaction Pattern," Journal of Korean Society for Internet Information, Vol. 15, No. 1, pp. 157-170, Feb. 2014.

Milad Malekipirbazari and Vural Aksakalli, "Risk Assessment in Social Lending via Random Forests," Expert Systems with Applications, Vol. 42, No. 10, pp. 4621-4631, Jun. 2015. crossref(new window)

Jehwan Oh, Zoheb Hassan Borbora, Jaideep Srivastava, "Automatic Detection of Compromised Accounts in MMORPGs," Social Informatics (SocialInformatics), International Conference on. IEEE, pp. 222-227, Dec. 2012.

Constantinos S. Hilas1, Paris A. Mastorocostas1, Ioannis T. Rekanos, "Clustering of Telecommunications User Profiles for Fraud Detection and Security Enhancement in Large Corporate Networks: A Case Study," Vol. 9, No. 4, pp. 1709-1718, Jan. 2015.

Sharmila Subudhia, Suvasini Panigrahib, "Quarter-Sphere Support Vector Machine for Fraud Detection in Mobile Telecommunication Networks," Procedia Computer Science, Vol. 48, pp. 353-359, 2015. crossref(new window)