Robust Authentication Model for ATM: a Biometric Strategy Measure for Enhancing E-Banking Security in Nigeria

Abstract

Crimes at automated teller machines (ATMs) are issues that face customers and bank operators. A lot of criminals tamper with ATM terminals and steal customers’ card details by illegal means. Security of data from unauthorized access, unauthorized modification and destruction of data most especially in ATM systems has been a challenge. The researchers in this work responded to this challenge by developing and simulating a robust fingerprint authentication model for ATM security. The techniques of the Structured System Analysis and Design Methodology (SSADM), Object Oriented Analysis and Design Methodology (OOADM) and the prototyping methodology were adopted for the systematic study and design of the model. Thereafter, we deployed Microsoft Visual C# and MySQL tools to implement the designed system. The system was interfaced with DigitalPersona, a fingerprint reader. The result is a robust fingerprint authentication model for ATM security.

Keywords- ATM, e-banking, fingerprint, PIN, security