Multifactor Authentication over Credit Card Fraud Detection and Prevention
Ashwini. M. Zinjurde1, Vilas. B. Kamble2
1Ashwini. M. Zinjurde*, Department of CSE, PESCOE, Aurangabad, India.
2Dr. Vilas. B. Kamble, Department of CSE, PESCOE, Aurangabad, India.
Manuscript received on June 17, 2020. | Revised Manuscript received on July 10, 2020. | Manuscript published on July 10, 2020. | PP: 680-685 | Volume-9 Issue-9, July 2020 | Retrieval Number: 100.1/ijitee.I7216079920 | DOI: 10.35940/ijitee.I7216.079920
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© The Authors. 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: Online banking becomes most used method for banking transaction now days. Now the trend is turning towards digitization and so is the population going towards the same thing. People often go to the credit/debit card, Net Banking, etc. online methods. Confidentiality may be hacked during online transactions. To reduced, fraud online activities so, as to secure the data by a two-step authentication method. The primary step of authentication is to verifying OTP. Once the OTP is verified, face recognition will be done. The data is analyzed and the results for both the valid and invalid transactions are sent to the Bank. A new card scanning system has important factor such as most safety, user-friendliness, etc. The application’s importance is to mitigate credit card fraud through Face device awareness. The customers get both most usable and highly secure online banking application.
Keywords: Credit Card, Fraud Detection, OTP, Online Banking System.
Scope of the Article: Authentication