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Reviewed article

Credit Card Fraud Detection Using Self-Organizing Maps

Vladimir Zaslavsky, Anna Strizhak
How to cite:
Vladimir Zaslavsky, Anna Strizhak
"Credit Card Fraud Detection Using Self-Organizing Maps"
Information & Security: An International Journal,
18,
(2006):
48-63.
http://dx.doi.org/10.11610/isij.1803

Credit Card Fraud Detection Using Self-Organizing Maps

18.03_Zaslavsky_Strizhak.pdf

Authors:

Vladimir Zaslavsky, Anna Strizhak

Source:

Information & Security: An International Journal,
Volume: 18,
p.48-63
(2006)

Keywords:

Fraud Detection, Payment System, Self Organizing Map, Transaction

Abstract:

Nowadays, credit card fraud detection is of great importance to financial institutions. This article presents an automated credit card fraud detection system based on the neural network technology. The authors apply the Self-Organizing Map algorithm to create a model of typical cardholder’s behavior and to analyze the deviation of transactions, thus finding suspicious transactions.

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93
Citations
Kateryna Krasovska
"Architecture of A Multi-Agent Information Analytical System for Predicting Losses upon the Materialization of Threats to a Bank’s Information Security."
The 3rd International Conference on Emerging Technology Trends on the Smart Indus try and the Internet of Thing
(2024):
Sylvain Lejamble, Flavien Vernier, Ilham Alloui, Sébastien Monnet
"Learning suitable data representation for credit card fraud detection algorithms."
6th International Conference on Data Science and Information Technology (DSIT)
(2023):
Zaffar Zaffar
"Credit Card Fraud Detection using One-Class Classification Algorithms."
Faculty of Information Technology and Communication Sciences (ITC)
Master
(2023):
Zaffar Zaffar, Fahad Sohrab, Juho Kanniainen, Moncef Gabbouj
" Credit Card Fraud Detection with Subspace Learning-based One-Class Classification."
arXiv:2309.14880v1
(2023):
Yelleti Vivek, Vadlamani Ravi, Abhay Mane, Laveti Naidu
"ATM Fraud Detection using Streaming Data Analytics."
arXiv preprint arXiv:2303.04946
(2023):
Akshat Gaurav, Brij Gupta
"Identificación de transacciones fraudulentas en línea y protección: técnicas de vanguardia."
ESIC Digital Economy and Innovation Journal
1,
no. 3
(2022):
Yelleti Vivek, Vadlamani Ravi, Abhay Mane, Laveti Naidu
"Explainable Artificial Intelligence and Causal Inference based ATM Fraud Detection ."
arXiv preprint arXiv:2211.10595
(2022):
Wei Li, Cheng-shu Wu, Su-mei Ruan
"CUS-RF-Based Credit Card Fraud Detection with Imbalanced Data."
Journal of Risk Analysis and Crisis Response
12,
no. 3
(2022):
110-123 .
Sylvain Courtain
"Essays on network data analysis through the bag-of-paths framework."
Louvain Research Institute in Management and Organizations Louvain School of Management
Doctor of Philosophy in Economics and Management Sciences
(2022):
Liao Chen, Ning Jia, Hongke Zhao, Yanzhe Kang, Jiang Deng, Shoufeng Ma
"Refined analysis and a hierarchical multi-task learning approach for loan fraud detection."
Journal of Management Science and Engineering
(2022):
Alamanda Amulya, Ragu Sai, Yaga Srivalli, Kunche Kavya, Kalidindi Jyothika
"A Novel Approach for Analysing and Predicting the Online Money Transactions Using Machine Learning Auto Encoders."
Journal of Engineering Sciences
13
(2022):
Pelin Taşer, Fatma Bozyigit
"Machine Learning Applications for Fraud Detection in Finance Sector."
The Impact of Artificial Intelligence on Governance, Economics and Finance
(2022):
121-146.
Pradeep Verma, Poornima Tyagi
"Credit Card Fraud Transaction Classification Using Improved Class Balancing and Support Vector Machines."
Recent Innovations in Computing: Proceedings of ICRIC 2021
(2021):
Waleed Hilal, Andrew Gadsden, John Yawney
"Financial Fraud: A Review of Anomaly Detection Techniques and Recent Advances."
Expert Systems with Applications
193
(2022):
Pradeep Nikitha, A. Rengarajan
"Fraud Detection."
IITM Journal of Management and IT
12,
no. 1
(2021):
81-82.
Debjyoti Bagchi, Abhishek Mukherjee, Sarannak Pal
"A one step further approach to fraud detection."
Journal of Computer Science and Engineering (JCSE)
2,
no. 2
(2021):
Anahita Ghahfarokhi, Taha Mansouri, Reza Moghaddam, Nila Bahrambeik, Ramin Yavari, Mohammadreza Sani
"Credit card fraud detection using asexual reproduction optimization."
Kybernetes
(2021):
Mansoor Ahmed, Kainat Ansar, Cal Muckley, Abid Khan, Adeel Anjum, Muhammad Talha
"A semantic rule based digital fraud detection."
PeerJ Computer Science
(2021):
Zhiyuan Chen, Waleed Soliman, Amril Nazir, Mohammad Shorfuzzaman
"Variational Autoencoders and Wasserstein Generative Adversarial Networks for Improving the Anti-Money Laundering Process."
IEEE Access
9
(2021):
83762 - 83785.
Souvik Ghoshal, Debkanya Bose, Koushik Deb
"A Comparative Study on Credit Card Fraud Detection."
(2021):
Olha Izmailova, Hanna Krasovska, Kateryna Krasovska, Volodymyr Zaslavskyi
"Assessing the Variety of Expected Losses upon the Materialisation of Threats to Banking Information Systems."
Information & Security: An International Journal
45
(2020):
89-118.
Bertrand Lebichot
"Network analysis based on bag-of-paths: classification, node criticality and randomized policies."
Doctor of Engineering Science
(2018):
Alvaro Talavera, Luis Cano, David Paredes, Mario Chong
"Data Mining Algorithms for Risk Detection in Bank Loans."
Information Management and Big Data
(2018):
151-159.
Milad Malekpour, Maryam Khademi, Behrouz Minae-Bidgoli
"A Hybrid Data Mining Method for Intrusion and Fraud Detection in E-Banking Systems."
Journal of Computational Intelligence and Electronic Systems
3,
no. 1–6
(2014):
Masoumeh Zareapoor, Pourya Shamsolmoali, Afshar Alam
"Data Mining for Secure Online Payment Transaction Data Mining for Secure Online Payment Transaction."
Digital Currency: Breakthroughs in Research and Practice
(2019):
Priyanka Kumari, Smita Mishra
"Analysis of Credit Card Fraud Detection Using Fusion Classifiers."
Computational Intelligence in Data Mining
(2018):
111-122.
Nick Ryman-Tubb, Paul Krause, Wolfgang Garn
"How Artificial Intelligence and machine learning research impacts payment card fraud detection: A survey and industry benchmark."
Engineering Applications of Artificial Intelligence
76
(2018):
130-157.
Ron Triepels, Hennie Daniels, Ronald Heijmans
"Anomaly Detection in Real-Time Gross Settlement Systems."
Proceedings of the 19th International Conference on Enterprise Information Systems (ICEIS 2017)
(2017):
433-441.
Eun Young, Woong Choi, Taejin Lee
"A Study on Financial Fraud Detection Method Using Machine Learning in Mobile Small-Amount Payment Service."
International Journal of Innovative Research in Technology & Science(IJIRTS)
(1910):
Mieke Jans, Nadine Lybaert, Koen Vanhoof
"Data Mining and Economic Crime Risk Management."
Data Mining: Concepts, Methodologies, Tools, and Applications
(2013):
Vladimir Zaslavsky
"System principles, mathematical models and methods to ensure high reliability of safety systems."
Proc. SPIE 10418, XI Conference on Reconnaissance and Electronic Warfare Systems
(2017):
Sanaz Nami, Mehdi Shajari
"Cost-sensitive payment card fraud detection based on dynamic random forest and k-nearest neighbors."
Expert Systems with Applications
110
(2018):
381-392.
D. Manjula, J. Thilagavathi
"A Novel Approach for Behavior based Charge Card Fraud Detection using Support Vector Machines."
IJSRD - International Journal for Scientific Research & Development|
3,
no. 6
(2015):
Scott Beach
"The Role of Technology in Elder Abuse Research."
Elder Abuse
(2017):
201-214.
Norbaiti Tukiman, Norhaiza Ahmad, Suhana Mohamed, Zarith Othman, CT Shafee, Zairi Rizman
"Credit Card Detection System Based on Ridit Approach."
International Journal on Advanced Science, Engineering and Information Technology
7,
no. 6
(2017):
2071-2077.
Ron Triepels, Hennie Daniels, Ronald Heijmans
"Detection and Explanation of Anomalous Payment Behavior in Real-Time Gross Settlement Systems."
Enterprise Information Systems, 19th International Conference, ICEIS 2017
(2017):
W.O. Ismaila, Kayode Alese, Olajide Adeosun, OT Arulogun
"Performance Evaluation of Unsupervised Neural Network in Fraud Detection."
(2012):
C. Gayathri, R Umarani
"Forecasting Of Automatic Relevance Determination For Feature Selection (FARD-FS) In Financial Fraud Detection."
International Journal of Applied Engineering Research
(2016):
Mirjana Bach, Nikola Vlahović, Jasmina Pivar
"Self-organizing maps for fraud profiling in leasing."
41st International Convention on Information and Communication Technology, Electronics and Microelectronics (MIPRO)
(2018):
Xingan Li, Henry Joutsijoki, Jorma Laurikkala, Martti Juhola
"GDP Growth vs. Criminal Phenomena: Data Mining of Japan 1926-2013."
AI & SOCIETY
33,
no. 2
(2018):
261–274.
A. Prakash
"Analysis of the Modern Techniques and Methods on Credit Card Fraud Detection."
International Journal for Research in Science Engineering and Technology
4,
no. 6
(2017):
Jackelyne Gómez-Restrepo, Myladis Cogollo-Flórez
"Detection of Fraudulent Transactions Through a Generalized Mixed Linear Models."
Ingeniería y Ciencia
8,
no. 16
(2012):
Nick Ryman-Tubb
"Neural-Symbolic Processing in Business Applications: Credit Card Fraud Detection."
Computational Neuroscience for Advancing Artificial Intelligence: Models, Methods and Applications
(2011):
Hanna Yailymova, Hongji Yang, Volodymyr Zaslavskyi
"Models and Methods in Creative Computing: Diversity and Type-Variety Principle in Development of Innovation Solutions."
14th International Symposium on Pervasive Systems, Algorithms and Networks & 2017 11th International Conference on Frontier of Computer Science and Technology & 2017 Third International Symposium of Creative Computing (ISPAN-FCST-ISCC)
(2017):
Michal Grzywa, Alior S.A.
"Zastosowanie Sztucznych Sieci Neuronowych w Detekcji Kartowych Transakcji Oszukańczych."
(2011):
M. Kavitha, M. Suriakala
"Hybrid Multi-Level Credit Card Fraud Detection System by Bagging Multiple Boosted Trees (BMBT)."
IEEE International Conference on Computational Intelligence and Computing Research (ICCIC)
(2017):
Linda Delamaire, Hussein Abdou, J. Pointon
"Credit card fraud and detection techniques: A review."
Banks and Bank Systems
4,
no. 2
(2009):
57 .
Zahra Zandian, Mohammadreza Keyvanpour
"Systematic identification and analysis of different fraud detection approaches based on the strategy ahead ."
International Journal of Knowledge-based and Intelligent Engineering Systems
21,
no. 2
(2017):
123-134.
Chae Lee, Ji Yoon
"A novel statistical approach to detect card frauds using transaction patterns."
IEICE Transactions on Information and Systems
E98D,
no. 3
(2015):
649-660.
S. Falaki, B. Alese, W.O. Ismaila
"An update research on credit card on-line transactions."
International Journal of Economic Development Research and Investment
1,
no. 2 & 3
(2010):
Imane Bouazza, El Ameur, Farid Ameur
"Datamining for Fraud Detecting, State of the Art."
Advanced Intelligent Systems for Sustainable Development (AI2SD’2018)
(2018):
205-219.
D. Manjula, J. Thilagavathi
"A Study on False Positive Reduction in Unbalanced Datasets through SVM Using Cost Based Learning."
International Journal of Trend in Research and Development
2,
no. 6
(2015):
Vanita Joshi, Alok Bansal
"Applicability of Artificial Neural Networks in Business."
Information Technology Issues & Challenges
(2009):
Seung Jeong, Hana Kim, Youngsang Shin, Taejin Lee, Huy Kim
"A Survey of Fraud Detection Research based on Transaction Analysis and Data Mining Technique (결제로그 분석 및 데이터 마이닝을 이용한 이상거래 탐지 연구 조사)."
Journal of the Korea Institute of Information Security and Cryptology (정보보호학회논문지)
25,
no. 6
(2015):
1525-1540.
Bertrand Lebichot, Fabian Braun, Olivier Caelen, Marco Saerens
"A graph-based, semi-supervised, credit card fraud detection system."
Complex Networks & Their Applications V. COMPLEX NETWORKS 2016. Studies in Computational Intelligence
(2016):
721-733.
Albert Sitek, Zbigniew Kotulski
"POS-originated transaction traces as a source of contextual information for risk management systems in EFT transactions."
EURASIP Journal on Information Security
(2018):
Mohammad Mahmud, Phayung Meesad, Sunantha Sodsee
"An evaluation of computational intelligence in credit card fraud detection."
International Computer Science and Engineering Conference (ICSEC)
(2016):
Xingan Li
"Application of Data Mining Methods in the Study of Crime Based on International Data Sources."
School of Information Sciences
Academic dissertation
(2014):
Lutao Zheng, Guanjun Liu, Chungang Yan, Changjun Jiang
"Transaction Fraud Detection Based on Total Order Relation and Behavior Diversity."
IEEE Transactions on Computational Social Systems
5,
no. 3
(2018):
Xingan Li, Henry Joutsijoki, Jorma Laurikkala, Martti Juhola
"GDP growth vs. criminal phenomena: data mining of Japan 1926–2013."
AI & SOCIETY
33,
no. 2
(2018):
261–274.
Samaneh Sorournejad, Zahra Zojaji, Reza Atani, Amir Monadjemi
"A Survey of Credit Card Fraud Detection Techniques: Data and Technique Oriented Perspective."
Computer Science, Cryptography and Security
(2016):
Xingan Li, Martti Juhola
"Country crime analysis using the self-organising map, with special regard to economic factors ."
International Journal of Data Mining, Modelling and Management
7,
no. 2
(2015):
Mohammad Taghva, Taha Mansouri, Kamran Feiz, Babak Akhgar
"Fraud Detection in Credit Card Transactions; Using Parallel Processing of Anomalies in Big Data ."
Journal of Information Technology Management
8,
no. 3
(2016):
477-498.
S. Falaki, B. Alese, O. Adewale, J. Ayeni, G. Aderounmu, W.O. Ismaila
"Probabilistic Credit Card Fraud Detection System in Online Transactions."
International Journal of Software Engineering and Its Applications
6,
no. 4
(2012):
Xingan Li, Henry Joutsijoki, Jorma Laurikkala, Martti Juhola
"Crime vs. Demographic Factors Revisited: Application of Data Mining Methods."
Webology
12,
no. 1
(2015):
Xingan Li, Martti Juhola
"Crime and Its Social Context: Analysis Using the Self-Organizing Map."
European Intelligence and Security Informatics Conference
(2013):
Subhas Barman, Utpal Pal, Asif Sarfaraj, Biswajit Biswas, Animesh Mahata, Palash Mandal
"A complete literature review on financial fraud detection applying data mining techniques ."
International Journal of Trust Management in Computing and Communications (IJTMCC)
3,
no. 4
(2016):
Vinicius Almendra, Denis Enachescu
"Using Self-Organizing Maps for Binary Classification With Highly Imbalanced Datasets."
International Journal of Numerical Analysis and Modeling, Series B
5,
no. 3
(2014):
238-254.
Vinicius Almendra, Denis Enachescu
"Using Self-Organizing Maps for Fraud Prediction at Online Auction Sites."
15th International Symposium on Symbolic and Numeric Algorithms for Scientific Computing
(2013):
Xingan Li, Henry Joutsijoki, Jorma Laurikkala, Markku Siermala, Martti Juhola
"Homicide and Its Social Context: Analysis Using the Self-Organizing Map."
Applied Artificial Intelligence An International Journal
29,
no. 4
(2015):
Massimiliano Zanin, Miguel Romance, Santiago Moral, Regino Criado
"Credit Card Fraud Detection through Parenclitic Network Analysis."
Complexity
(2018):
V. Dheepa, R. Dhanapal
"Behavior Based Credit Card Fraud Detection Using Support Vector Machines."
ICTACT Journal on Soft Computing
2,
no. 4
(2012):
Masoumeh Zareapoor, K.R. Seeja, Afshar Alam
"Analysis of Credit Card Fraud Detection Techniques: based on Certain Design Criteria."
International Journal of Computer Applications (0975 – 8887)
52,
no. 3
(2012):
E. Ngai, H. Wong
"The application of data mining techniques in financial fraud detection: A classification framework and an academic review of literature."
Decision Support Systems
50,
no. 3
(2011):
559-569.
A. Prakash, C. Chandrasekar
"An Optimized Multiple Semi-Hidden Markov Model for Credit Card Fraud Detection."
Indian Journal of Science and Technology
8,
no. 2
(2015):
165–171.
Solichul Huda, Tohari Ahmad, Riyanarto Sarno, Heru Santoso
"Identification of process-based fraud patterns in credit application."
2nd International Conference on Information and Communication Technology (ICoICT)
(0):
K.R. Seeja, Masoumeh Zareapoor
"FraudMiner: A Novel Credit Card Fraud Detection Model Based on Frequent Itemset Mining."
The Scientific World Journal
(2014):
Jon Quah, M. Sriganesh
"Real-time credit card fraud detection using computational intelligence."
Expert Systems with Applications
35,
no. 4
(2008):
1721-1732.
You Dai, Jin Yan, Xiaoxin Tang, Han Zhao, Minyi Guo
"Online Credit Card Fraud Detection: A Hybrid Framework with Big Data Technologies."
IEEE Trustcom/BigDataSE/ISPA
(0):
Solichul Huda, Riyanarto Sarno, Tohari Ahmad
"Increasing Accuracy of Process-Based Fraud Detection Using a Behavior Model."
International Journal of Software Engineering and Its Applications
10,
no. 5
(2016):
175-188.
Mieke Jans, Nadine Lybaert, Koen Vanhoof
"A framework for Internal Fraud Risk Reduction at IT Integrating Business Processes: The IFR² Framework."
International Journal of Digital Accounting Research
9
(2010):
Véronique Van Vlasselaer, Cristián Bravo, Olivier Caelen, Tina Eliassi-Rad, Leman Akoglu, Monique Snoeck, Bart Baesens
"APATE: A novel approach for automated credit card transaction fraud detection using network-based extensions."
Decision Support Systems
75
(2015):
38-48.
Andrea Dal Pozzolo, Giacomo Boracchi, Olivier Caelen, Cesare Alippi, Gianluca Bontempi
"Credit Card Fraud Detection: A Realistic Modeling and a Novel Learning Strategy."
Transactions on Neural Networks and Learning Systems
29,
no. 8
(2018):
Frederic Stahl, Ivan Jordanov
"An overview of the use of neural networks for data mining tasks."
WIREs Data Mining and Knowledge Discovery
2,
no. 3
(2012):
193-208.
L. Delamaire, HAH Abdou, J. Pointon
"Credit card fraud and detection techniques : a review."
Banks and Bank Systems
4,
no. 2
(2009):
57-68.
Xingan Li, Martti Juhola
"Application of the self-organising map to visualisation of and exploration into historical development of criminal phenomena in the USA, 1960–2007 ."
International Journal of Society Systems Science
6,
no. 2
(2014):
Krishna Tripathi, Mahesh Pavaskar
"Survey on Credit Card Fraud Detection Methods."
International Journal of Emerging Technology and Advanced Engineering
2,
no. 11
(2012):
Aisha Abdallah, Mohd Maarof, Anazida Zainal
"Fraud detection system: A survey."
Journal of Network and Computer Applications
68
(2016):
90-113.
Ben Reardon, Kara Nance, Stephen McCombie
"Visualization of ATM Usage Patterns to Detect Counterfeit Cards Usage."
45th Hawaii International Conference on System Sciences
(2012):
Xingan Li, Martti Juhola
"Country crime analysis using the self-organizing map, with special regard to demographic factors."
AI & SOCIETY
29,
no. 1
(2014):
53–68.
Suman Arora, Guru Jambheshwar, Dharminder Kumar
"Hybridization of SOM and PSO for Detecting Fraud in Credit Card."
Journal of Information Systems in the Service Sector (IJISSS)
9,
no. 3
(2017):
Samaneh Sorournejad, Zahra Zojaji, Reza Atani, Amir Monadjemi
"A Survey of Credit Card Fraud Detection Techniques: Data and Technique Oriented Perspective."
arXiv preprint
(2016):
Solichul Huda, Riyanarto Sarno, Tohari Ahmad
"Fuzzy MADM Approach for Rating of Process-Based Fraud."
Journal of ICT Research and Applications, Institut Teknologi Bandung
9,
no. 2
(2015):