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Analysis of ATM Security using Biometrics

Giselle Barretto, Teena Varma

Abstract


An ATM (automated teller machine) is an electronic machine that allows customers of a bank to make transactions like cash withdrawals, deposits, fund transfers, at any time and without the need for direct communication with employees of the bank. ATMs today are highly secured with state-of-the-art protection methods and protocols. They make use of highly complex systems and networks to make or complete transactions. But, even with advanced security measures in place, there is an increase in ATM fraud. Data processed by ATMs are encrypted, but hackers can make use of inconspicuous hacking devices to hack accounts and steal money present in the account. In this paper, we will take a look at the Biometric aspect of ATM security. We will review the popular biometric methods and how they form a much safer and highly secure counterpart of the traditional ATM systems.

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References


Aruna, R., Sudha, V., Shruthi, G., Usha Rani R, V, Sushma(2018). ATM security using fingerprint authentication and OTP. IJERECE.5(5):44-47

Mahajan, A., Mande. R., Mhaske. A., Shete, P., Dhoot. S. B.(2019). Artificial Intelligence based Smart ATM. IRJET.6(11):1087-1090.

Kumar, S., Mohan, A., Gupta, A., Gupta, P.(2019). ATM Security using Machine Learning.6(5):1266-1269.

Mohammed, L. A. (2011). Use of biometrics to tackle ATM fraud. In Proc. 2010 International Conference on Business and Economics Research (Vol. 1).

Intelligence, A. M. (2007). The future of biometrics. Biometric Technology Today, 9.

Siddiqui, A. T. (2015). Biometric Authentications to Control ATM Theft. Asian Journal of Technology & Management Research [ISSN: 2249–0892], 5(01).

Automated Teller Machine, URL: https://en.wikipedia.org/wiki/Automated_teller_machine


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