Volume- 2
Issue- 4
Year- 2014
Article Tools: Print the Abstract | Indexing metadata | How to cite item | Email this article | Post a Comment
Rahul V, Thakare , Prof. N. P. Chawande
Due to the rise and rapid growth of E-Commerce, use of credit cards for online purchases has dramatically increased and it caused an explosion in the credit card fraud. As credit card becomes the most popular mode of payment for both online as well as regular purchase, case of the fraud associated with it are also rising. The main objective of this paper is to construct an efficient fraud detection system which is useful for both online and regular purchase. In this proposed fraud detection system, the sequence of operation performed based on rules and probability of input action and compares each transaction with transactional history database.
[1] Peter J. Bentley, Jungwon Kim, Gil-Ho Jung and Jong-Uk Choi,”Fuzzy Darwinian Detection of Credit Card Fraud”, In the 14th Annual Fall Symposium of the Korean Information Processing Society, 14th October 2000.
[2] Amlan Kundu, Suvasini Panigrahi, Shamik Sural and Arun K. Majumdar, “BLAST-SSAHA Hybridization for Credit Card Fraud Detection,” IEEE Transactions On Dependable And Secure Computing,vol. 6,Issue no.4,pp.309-315,Oct-Dec 2009.
[3] Abhinav Srivastava, Amlan Kundu, Shamik Sural, Arun K. Majumdar, “Credit Card Fraud Detection using Hidden Markov Model,” IEEE Transactions On Dependable And Secure Computing, vol. 5, Issue no. 1, pp.37-48, January-March 2008.
[4] Aihua Shen, Rencheng Tong, Yaochen Deng, “Application of Classification Models on Credit Card Fraud Detection” IEEE Transactions 2007
[5] Sherly K.K, R Nedunchezhian, “BOAT ADAPTIVE CREDIT CARD FRAUD DETECTION SYSTEM”, IEEE Transactions On Dependable And Secure Computing vol. 4,Issue no. 1, pp . 4244-5967, 2010.
[6] Jon T.S. Quah, M. Sriganesh, “Real-time credit card fraud detection using computational intelligence”, 2007 Elsevier
[7] Y. Sahin, E. Duman, “Detecting Credit Card Fraud by ANN and Logistic Regression”, IEEE Transactions On Dependable And Secure Computing, 2011
[8] Mubeena Syeda, Yan-Qing Zbang and Yi Pan, “Parallel Granular Neural Networks for Fast Credit Card Fraud Detection”, IEEE Transactions On Dependable And Secure Computing, 2002.
[9] M. Hamdi Ozcelik, M. Mine Islk, Ekrem Duman, Tugba Cevik, “Improving a credit card fraud detection system using genetic algorithm”, IEEE Transactions On Dependable And Secure Computing, 2010.
[10] R. Huang, H. Tawfik, and A.K. Nagar, “A Novel Hybrid Artificial Immune Inspired Approach for Online Break-in Fraud Detection”, 2012 Published by Elsevier Ltd.
[11] S. Maes, K. Tuyls, B. Vanschoenwinkel, B. Manderick, ” Credit card fraud detection using Bayesian and neural networks”, in: Proceedings of the First International NAISO Congress on Neuro Fuzzy Technologies, 2002.
[12] Ghosh S., Reilly D. L., Credit card fraud detection with a neural network, In Proceedings of the 27th Hawaii International Conference on system Sciences, (1994).
[13] J.R. Dorronsoro, F. Ginel, C. Sanchez, C.S. Cruz, ”Neural fraud detection in credit card operations”, IEEE Transactions on Neural Networks, IEEE, 8 (July) (1997) 827834.
[14] R.C. Chen, S.T. Luo, X. Liang, V.C.S. Lee, ”Personalized approach based on SVM and ANN for detecting credit card fraud”, in: Proceedings of the IEEE International Conference on Neural Networks and Brain, IEEE, October 2005, pp. 810815.
[15] R. Brause, T. Langsdorf, M. Hepp, ”Neural data mining for credit card fraud detection”, in: Proceedings of the International Conference on Tools with Artificial Intelligence, 1999, pp 103106.
[16] C. Chiu, C. Tsai, ”A web services-based collaborative scheme for credit card fraud detection”, in: Proceedings of the IEEE International Conference on e-Technology, e- Commerce and e-Service, IEE, 2004, pp. 177181.
[17] http://yesican.chsoft.biz/dnews-manual/rules.htm
[18] http://en.wikipedia.org/wiki/Bayesian_inference
[19] http://www.blutner.de/uncert/Dempster-Shafer.pdf
Computer Engg, Mumbai University/ ACPCE,Kharghar, India. Rahul.thakare01@gmail.com
No. of Downloads: 6 | No. of Views: 1153
Dipti Prajapati, Samishtarani Sabat, Sanika Bhilare, Rashmi Vishe, Prof. Suman Bhujbal.
March 2024 - Vol 12, Issue 2
Anu Sharma, Vivek Kumar.
May 2023 - Vol 11, Issue 3
Venkateswaran Radhakrishnan.
May 2023 - Vol 11, Issue 3