A Survey on ATM Security Using OTP and Voice Recognition
Article Sidebar
Main Article Content
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
Downloads
Article Details
Section
This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.
How to Cite
References
Udhayakumar N, Sri Vasu R, Subhash S, Sharmila Rani D, "ATM-Security using machine learning technique in IOT" in International Journal of Advance Research Ideas and Innovations in Technology. https://www.ijariit.com/manuscripts/v5i2/V5I2-1225.pdf
Jathumithran S, Thamilarasan V, piratheepan P, Rushanthini P, Mercy veniancya J, Nirupa P, Thiruthanigesan K, " Enhancing ATM Security using Fingerprint " in ICTACT Journal on Micro Electronics (2018, vol-04). https://ictactjournals.in/paper/IJME_Vol_4_Iss_2_Paper_4_570_575.pdf
Om kumar Gaurav, Sanjay Prasad rao,
"Biometric System based ATM Security System" in international Journal of Scientific Engineering and Technology Research, Research Gate (2016). https://www.researchgate.net/profile/Banoth-Rao/publication/348162743_Biometric_Systems_based_ATM_Security_System/links/5ff165d6a6fdccdcb8266c99/Biometric-Systems-based-ATM-Security-System.pdf
Abdulrahman Alhothaily, Arwa Alrawais, Xiuzhen Cheng, Rongfang Bie, “A novel verification method for payment card systems”, In Springer Verlag London, October 2015, Volume 19, Issue 7, pp 1145-1156,October 2015. DOI: https://doi.org/10.1007/s00779-015-0881-9
Nongmeikapam Thoiba Singh, Richa Dhiman, Amrita Chaudhary, Prerna Dhawan, Asem Debala Chanu, “Enhancing ATM Security and Convenience with Fingerprint-Based Biometric Authentication” in Research gate at 2024. DOI: http://dx.doi.org/10.1109/GCITC60406.2023.10426103
Hairol Nizam Mohd. Shah,Mohd. Zamzuri Ab Rashid, Mohd. Fairus Abdollah, Muhammad Nizam Kamarudin,Chow Kok Lin and Zalina Kamis, "Biometric Voice Recognition in Security System " in Indian Journal of Science and Technology at 2014. DOI: http://dx.doi.org/10.17485/ijst/2014/v7i1.9
Dwi Ana Ratna Wati, Dika Abadianto “Design of Face Detection and Recognition System for Smart Home Security Application.” IEEE (2017). DOI: https://doi.org/10.1109/ICITISEE.2017.8285524
Muhammad-Bello B.L., Alhassan M.E, Ganiyu, S.O’ “An Enhanced ATM Security System using Second-Level Authentication” in International Journal of Computer Applications at 2015. DOI: http://dx.doi.org/10.5120/19533-1181
Adepoju, A.S & Alhassan, M.E. “Challenges of automated Teller Machine (ATM) usage and fraud occurrences in Nigeria – A case study of selected banks in Minna metropolis”, in Journal of Internet Banking and Commerce. At 2010 Vol 15, No. 2. https://www.researchgate.net/publication/228464353
Selvaraju, N. & Sekar, G. (2010), A method to improve the security level of ATM banking systems using AES algorithm, International Journal of Computer Applications. June 2010 Vol 3 No.6. https://www.researchgate.net/publication/272862868
K.Yadav, S. Mattas, L. Saini and P. Jindal, "Secure Card-less ATM Transactions," 2020 First IEEE International Conference on Measurement, Instrumentation, Control and Automation (ICMICA), Kurukshetra, India, 2020, pp. 1-4. DOI: https://doi.org/10.1109/ICMICA48462.2020.9242713
S. Sharma and V. Sejwar, "Impementation of QR Code Based Secure System for Information Sharing Using Matlab," 2016 8th International Conference on Computational Intelligence and Communication Networks (CICN), Tehri, India, 2016, pp. 294-297. DOI: https://doi.org/10.1109/CICN.2016.64
S. Kumaresan, G. D. Kumar and S. Radhika, "Design of secured ATM by wireless password transfer and shuffling keypad," 2015 International Conference on Innovations in Information, Embedded and Communication Systems (ICIIECS), Coimbatore, India, 2015, pp. 1-4. DOI: https://doi.org/10.1109/ICIIECS.2015.7192993
A. Mandalapu, Daffney Deepa V, L. D. Raj and Anish Dev J, "An NFC featured three level authentication system for tenable transaction and abridgment of ATM card blocking intricacies," 2015 International Conference and Workshop on Computing and Communication (IEMCON), Vancouver, BC, Canada, 2015, pp. 1-6. DOI: https://doi.org/10.1109/IEMCON.2015.7344491
A. Muley and V. Kute, "Prospective solution to bank card system using fingerprint," 2018 2nd International Conference on Inventive Systems and Control (ICISC), Coimbatore, India, 2018, pp. 898-902. DOI: https://doi.org/10.1109/ICISC.2018.8398930
Sonal Mahajan, Anagha Awale, Rutuja Gurav, Pranjal Satpute, Ms. Hema Karande, Mr. Jitendra Bakliwal, “Cardless transaction in ATM” IJRASET Journal For Research in Applied Science and Engineering Technology, 2023. DOI: https://doi.org/10.22214/ijraset.2023.50741
Sahil Bajaj, Sumit Dawda, Pradnya Jadhav, Rasika Shirude, “Card less ATM Using Deep Learning and Facial Recognition Features”, Journal of Information Technology and Software Engineering, Vol.12 Iss.5 No:302, JITSE-21-11077, 14-Oct-2022. https://www.longdom.org/open-access/card-less-atm-using-deep-learning-and-facial-recognition-features-87209.html
Vaishnavi M. Shinde, Dhanashri B. Shinde, Pravin B. Shinde, Aditya V. Wandhekar, Pallavi S. Kohakade, “Virtual ATM through Fingerprint and Face recognition using Deep Learning”, International Journal of Innovative Research in Technology (IJIRT), ISSN: 2349-6002, Volume 9 Issue 10, March 2023. https://www.ijsrd.com/Article.php?manuscript=IJSRDV10I90012
Ai based E-Atm security and surveillance system using blynk-lot server international conference on. Ieee, 2022. DOI: https://doi.org/10.1109/C2I456876.2022.10051613
Jay Jadhav, Shrikant Chavhan, Manohar Chavan, Tushar Mohite, ”Design and Implementation Of Advanced Security-Based System For Atm”, International Research Journal of Modernization in Engineering Technology and Science, 2024. https://www.irjmets.com/uploadedfiles/paper//issue_4_april_2024/53535/final/fin_irjmets1716642324.pdf
Basha, Dr. S. M., Ramkumar, Mr. V., Reddy, Mr. S. P. V. V., Bhuvaneswari, Ms. V., & Kumar, Mr. V. P. (2020). Secured Banking using Multilevel Authentication by Face Recognition and SIM Card Verification for ATMs. In International Journal of Innovative Technology and Exploring Engineering (Vol. 9, Issue 3, pp. 2596–2599). DOI: https://doi.org/10.35940/ijitee.b7062.019320
Naqi, Mohd. A., & Pendem, S. (2019). Advanced ATM Crime Prevention System by using Wireless Communication. In International Journal of Recent Technology and Engineering (IJRTE) (Vol. 8, Issue 4, pp. 11839–11844). DOI: https://doi.org/10.35940/ijrte.d9567.118419
Jabili, G., Bhatt, A. S., Kosuri, T., Pisay, B., & Nadhan, A. S. (2020). Multilevel Security System for ATM Machines. In International Journal of Engineering and Advanced Technology (Vol. 9, Issue 4, pp. 651–653). DOI: https://doi.org/10.35940/ijeat.d7437.049420
Mandal, Dr. T. (2023). Adoption of UPI and Implementation of UPI-ATM in India: A Logit Analysis. In Indian Journal of Economics and Finance (Vol. 3, Issue 1, pp. 52–59). DOI: https://doi.org/10.54105/ijef.e7990.03010523