ATM Shoulder-Surfing Resistant Pin Entry Using Based Pin and Base Text

Author:

Raja G.1,Bavithra M.1

Affiliation:

1. Assistant Professor, Computer Science and Engineering, Dhanalakshmi Srinivasan Engineering College, Perambalur, Tamil Nadu, India

Abstract

The main aim of this system is to develop a secure ATM in future. In general, all the keypad based authentication system having several possibilities of password identification by means of shoulder movements. Shoulder-surfing is an attack on password authentication that has frequently been hard to defeat. This problem has come up with a new solution by following two types of proposal idea one is designing shuffled Automated Teller Machine keypad which displays the shuffled texts in the Display which confuses person who standing near you to guess the password. Another one is to develop the GSM application between the user and Automated Teller Machine counter for communicating a password via the wireless medium. If someone tries to input the old password got by shoulder surfing a message containing the location of ATM and the ATM shutter will be closed.

Publisher

Technoscience Academy

Subject

General Medicine

Reference9 articles.

1. Antovski, L. and Gusev,M.(2003) “A pin-Entry Method Resilient Against Shoulder Surfing”, vol. 04, pp. 236-245. 2Avinash Kumar Ojha April, June(2015), “ATM Security using Fingerprint Recognition” MCA Department, Mumbai University, Maharashtra, India Volume 5, Issue

2. P. Golle and D. Wagner May (2007). “Cryptanalysis of a cognitive authentication scheme” (extended abstract). In Proc. of the IEEE Symposium on Security and Privacy (S&P2007), pages 6670, Oakland, California, USA, IEEE Computer Society.

3. M.Kumar, T.Garfinkel, D.Boneh, and T.Winograd July (2007). “Reducing shoulder-surfing by using gaze-based password entry”. In Proc.of the 3rd Symposium on Usable Privacy and Security (SOUPS2007), Pittsburgh, PA, USA.

4. Pramila D. Kamble, Dr.Bharti W. Gawali November (2012). “Fingerprint Verification of ATM Security System by Using Biometric and Hybridization” Dr.Babasaheb Ambedkar Marathwada University Aurangabad 431004 (MS) India International Journal of Scientific and Research Publications, Volume 2, Issue 11, 1 ISSN 2250-3153.

5. Hossein Reza Babaei, Ofentse Molalapata and Abdul- Hay Akbar Pandor (2012) “Face Recognition Application for Automatic Teller Machines (ATM)”, Faculty of Information and Communication Technology, Limkokwing University of Creative Technology, Cyberjaya, Malaysia International Conference on Information and Knowledge Management (ICIKM 2012) IPCSIT vol.45

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