A Survey on ATM Security Using OTP and Voice Recognition
Jayanthi M1, Jannet Emimal M2
1Jayanthi M, Assistant Professor, Department of Computer Science and Engineering, KIT-Kalaignarkarunanidhi Institute of Technology, Coimbatore (Tamil Nadu), India.
2Jannet Emimal M, Student, Department of Computer Science and Engineering, KIT-Kalaignarkarunanidhi Institute of Technology, Coimbatore (Tamil Nadu), India.
Manuscript received on 21 November 2024 | First Revised Manuscript received on 18 February 2025 | Second Revised Manuscript received on 18 March 2025 | Manuscript Accepted on 15 April 2025 | Manuscript published on 30 April 2025 | PP: 5-7 | Volume-12 Issue-4, April 2025 | Retrieval Number: 100.1/ijies.F819013060325 | DOI: 10.35940/ijies.F8190.12040425
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: An Automated Teller Machine (ATM) is a cash dispensing terminal that allows patrons to conduct financial operations without requiring human assistance, including flows, forfeitures, deposits to be made, and balance inquiries. The security of ATM remains a significant concern, with card skimming, phishing, and unauthorized access being prevalent threats [1]. A wide range of technologies, such as PIN, OTP, biometric, RFID, etc., are used to secure ATM machines. This study presents a survey of various ATM security mechanisms, these technologies have several downsides. The combination of OTP and voice recognition technology appears to be superior and more secure than other technologies when compared to other technologies used for ATM security [2]. The integration of these two authentication methods provides a robust defense against various types of attacks, including card cloning, identity theft, and shoulder surfing. The system’s usability and user acceptance are also evaluated, showing a positive response from participants. This research contributes to the development of secure and reliable ATM systems, protecting users’ financial information and preventing fraudulent activities.
Keywords: ATM Security, Voice Recognition, One-Time Password (OTP), Multimodal Authentication.
Scope of the Article: Computer Science and Applications