Enhanced Secure ATM authentication using NFC Technology and Iris Verification

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Published: Nov 9, 2021
DOI: https://doi.org/10.12694/scpe.v22i2.1920
Keywords:
ATM Authentication Industry Iris NFC Security Security, privacy, and reliability of industry applications

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Smita S Agrawal
Department of Computer Science and Engineering, Nirma University, Ahmedabad, India
http://orcid.org/0000-0003-0486-8045
Parita Oza
Department of Computer Science and Engineering, Nirma University, Ahmedabad, India
https://orcid.org/0000-0001-9637-6157
Mahima Biswas
Department of Computer Science and Engineering, Nirma University, Ahmedabad, India
Neer Choksi
Department of Computer Science and Engineering, Nirma University, Ahmedabad, India

Abstract

In today's world technology has advanced to such an extent that it is interchangeable with connection and convenience. ATM was one of the major breakthroughs, and over the time it has provided better convenience in fulfilling one’s banking needs. Although, there are certain predicaments that such ATM transactions are susceptible too. The conventional PIN based authentication that is presently accustomed in all ATM apparatus is liable to shoulder surfing, hassle in remembering the multiple PIN and the rest. The physical card brings along setbacks in particular, wearing out of the magnetic strip attributable to frequent usage, losing or getting it stolen. Aside from these there are other unlawful activities that are carried upon. The objective of this paper is to present a solution to the above stated problems. In contrast to standard architecture, the proposed solution incorporates NFC enabled smartphones as a substitute for physical card and iris based authentication for PIN.

Article Details

Issue
Vol. 22 No. 2 (2021)
Section
Proposal for Special Issue Papers
Author Biographies

Smita S Agrawal, Department of Computer Science and Engineering, Nirma University, Ahmedabad, India

Prof Smita Agrawal is working as an Assistant Professor at Computer Science and Engineering Department since 2009. She has a teaching experience of over 14 years. She received her Master of Computer Applications degree from Gujarat Vidhyapith in 2004. She is currently pursuing her doctoral studies in the field of Big Data Analytics from CHARUSAT University, Changa. She works in the area of Big Data Analytics, Parallel Processing, Web Development and IoT. She has published several research papers in national and international conferences and journals. Prof Smita has conducted ISTE approved short term training programme in the field of Web Services using PHP. She is involved in teaching courses at both undergraduate and postgraduate level.

Parita Oza, Department of Computer Science and Engineering, Nirma University, Ahmedabad, India

Prof Parita Oza is working as an Assistant Professor in Computer Science and Engineering Department since June 2008. Prof Oza has more than 14 years of teaching experience. She has pursued her BE in Information Technology from C U Shah College of Engineering and Technology and MTech in Information and Communication Technology from Nirma University. Her MTech thesis was in the area of Wireless Sensor Networks. Her research area includes Image Processing and Medical Imaging. She has several publications in international journals and conferences. She teaches at both Undergraduate and post graduate level. Currently, she is working in the area of Medical Imaging for classification and detection of Breast Cancer.