Design and Implementation of Multilayer Security for ATM Machines

Anjalin Joy,Caren Babu

doi:10.35940/ijrte.b6112.0710221

Abstract

Automated teller machine (ATM) nowadays are a favourite spot for attackers as they are available everywhere and are much easier to rob. Generally, ATM attacks can be either physical ATM attacks or ATM-related fraud attacks. In this paper the idea of an ATM system with multilayer security is proposed with the help of internet of things (IoT), fingerprint identification and face recognition to increase the security of ATM. The physical ATM counter attacks can be identified by using specific sensors to detect changes in vibration and temperature in the ATM counter. To prevent ATM related fraud attacks the proposed system has additional security features like fingerprint identification and face recognition along with ATM number verification. The convolutional neural network (CNN) and machine learning based face recognition is used in this work which is quite reliable. Failures in any of the above steps cancel the transactions and so the proposed system provides multi layer security which makes it impossible for the attackers to break the ATM security. The proposed system will help to increase the security of the ATM and provide safe and secure ATM transactions.

Highlights

Automated teller machines (ATM) are one of the available sources to do cash withdrawals and access their bank details without going to bank
If user chooses option 1 balance enquiry menu is displayed and if he chooses option 2 amount withdrawal menu is displayed. This will make sure that only the customer with registered face and fingerprint data along with the correct ATM card information will be allowed to proceed with the transaction
The normal temperature limit set in the ATM counter is 340c.The sensor detect and displays the current temperature and humidity value of the counter using internet of things (IoT) module in the admin’s webpage

Summary

Introduction

Automated teller machines (ATM) are one of the available sources to do cash withdrawals and access their bank details without going to bank. In the traditional ATM, transactions are authorized based on the authentication of their ATM card and personal identification number (PIN). Since the incidence of ATM thefts by duplicating cards and identifying PIN [7]-[9] are increasing worldwide, transactions using card and PIN are not safe and secure. In order to increase the ATM security many new technologies like face recognition fingerprint identification, global system for mobile communication (GSM) technology and internet of things (IoT) techniques have been used alone or combining with the traditional card and PIN. The technologies which are commonly used to increase ATM security like face recognition [1]-[3], fingerprint identification, smartphone, GSM technology, IoT etc alone cannot provide a safe and secure transactions.

Objectives

Results

Conclusion