ENHANCEMENT OF SECOND LEVEL AUTOMATED TELLER MACHINE (ATM) AUTHENTICATION USING RADIO FREQUENCY IDENTIFICATION AND FINGERPRINT

BY

JIMOH ABDULRAMON AROYEHUN
DEPARTMENT OF ELECTRICAL AND ELECTRONICS ENGINEERING, FEDERAL POLYTECHNIC OFFA, KWARA STATE, NIGERIA.

OCTOBER, 2018

ABSTRACT

This project work is to present in detail a system which is used for ATM security application. Automated Teller Machines (ATMs) have become a part of human economical system. As a result of their ubiquity, the notion that something could go wrong never crosses their minds. Unfortunately, things are not always as they seem at the ATMs. Most ATMs scams involve criminal theft of debit card numbers and personal Identification Numbers (PINs) from the innocent users of these machines. There are several variations of this confidence scheme, but all involve the unknowing cooperation of the cardholders themselves. In this study, a security system using passive Radio Frequency Identification (RFID) and Fingerprint was carried out. It is a low cost and low power concept. The system is compact in size and has the capability of standing alone. A microcontroller compares two signals from the user Radio Frequency Identification (RFID) and fingerprints. If the two signals correctly match the pre-stored database, the microcontroller provides the needed control signal to continue the transaction on the Automated Teller Machines (ATMs), otherwise access will be denied, irrespective of the location. When incorporated into the ATM system in Nigeria, the scheme will prevent ATM fraud. Evaluation of the result was done based on the level of security and authentication. Radio Frequency Identification (RFID) tag can be encrypted compared to the existing tags given out by commercial banks and fingerprint gave a higher level of security compared to password used by the modern banks.