Hybrid Approach for Credit Card Fraud Detection
Krishna Kumar Tripathi1, Lata Ragha2

1Krishna Kumar Tripathi, Computer Department, Terna Engineering College, Navi Mumbai, India.
2Dr. Lata Ragha, Computer Department, Terna Engineering College, Navi Mumbai, India.
Manuscript received on August 04, 2013. | Revised Manuscript received on August 28, 2013. | Manuscript published on September 05, 2013. | PP: 8-11 | Volume-3, Issue-4, September 2013. | Retrieval Number: D1750093413
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© The Authors. Published By: Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)

Abstract: Due to a rapid growth in the e-commerce technology, the use of credit cards has increased. As credit card becomes the most popular mode of payment for both online as well as normal purchase, cases of credit card fraud also rising. Financial fraud is increasing significantly with the development of modern technology and the global superhighways of communication, resulting in the loss of billions of dollars worldwide each year. The fraudulent transactions are scattered with genuine transactions and simple pattern matching techniques are not often sufficient to detect those frauds accurately. Implementation of efficient fraud detection systems has thus become imperative for all credit card issuing banks to minimize their losses. Many modern techniques were proposed & implemented in literature, they have their own advantages and disadvantages. We proposed hybrid approach used in credit card fraud detection mechanism.
Keywords: Credit card fraud, Credit Card Fraud detection methods, Electronic Commerce, Rule based filter, History database, Bayesian theorem, Dempster Shaper Adder.