Advanced Technology for ATM Theft Avoidance System Using Random PIN Generation

S. Suhendhar, K. Yuvaraj

2023

Abstract

Addressing the persistent concern of ATM theft, criminals’ continuous efforts to compromise automated teller machine (ATM) security and exploit users’ financial information necessitate innovative countermeasures. This paper introduces a Random PIN Generation system to enhance ATM security by dynamically generating unique personal identification numbers (PINs) for each transaction, aiming to reduce the risk of PIN-based theft. Unlike static PINs, the proposed system generates a distinct PIN for every withdrawal or transaction attempt. The system incorporates a secure PIN algorithm, encrypted communication channels, user authentication layers, and dynamic PIN validation to ensure robust security. Key advantages include heightened difficulty for attackers in predicting or brute-forcing PINs, real-time adaptability, a seamless user experience, and reduced financial fraud. The Advance Technology for ATM Theft Avoidance System Using Random PIN Generation is presented, outlining its conceptual framework, key components, benefits, and potential challenges. This innovative approach fortifies ATM infrastructure, offering financial institutions a means to provide customers with a secure and reliable banking experience.

Paper Citation

in Harvard Style

Suhendhar S. and Yuvaraj K. (2023). Advanced Technology for ATM Theft Avoidance System Using Random PIN Generation. In Proceedings of the 1st International Conference on Artificial Intelligence for Internet of Things: Accelerating Innovation in Industry and Consumer Electronics - Volume 1: AI4IoT; ISBN 978-989-758-661-3, SciTePress, pages 199-205. DOI: 10.5220/0012610700003739

in Bibtex Style

@conference{ai4iot23,
author={S. Suhendhar and K. Yuvaraj},
title={Advanced Technology for ATM Theft Avoidance System Using Random PIN Generation},
booktitle={Proceedings of the 1st International Conference on Artificial Intelligence for Internet of Things: Accelerating Innovation in Industry and Consumer Electronics - Volume 1: AI4IoT},
year={2023},
pages={199-205},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0012610700003739},
isbn={978-989-758-661-3},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 1st International Conference on Artificial Intelligence for Internet of Things: Accelerating Innovation in Industry and Consumer Electronics - Volume 1: AI4IoT
TI - Advanced Technology for ATM Theft Avoidance System Using Random PIN Generation
SN - 978-989-758-661-3
AU - Suhendhar S.
AU - Yuvaraj K.
PY - 2023
SP - 199
EP - 205
DO - 10.5220/0012610700003739
PB - SciTePress