ATM Secure and Privacy Preservation System Using Random Pseudo Code Algorithm
Keywords:
ATM privacy, Security System, Confidentiality, Financial Information, EncryptionAbstract
The ATM Privacy Security System ensures the utmost security and confidentiality of users' financial and personal information during ATM transactions through a range of robust measures. These include encryption, continuous monitoring, and rigorous authentication protocols. By implementing such strategies, the system aims to thwart fraudulent attempts and unauthorized access, safeguarding users' sensitive data. Tailored specifically to counter unauthorized access and potential ATM theft, this comprehensive security system employs various protective measures. Prior to cash withdrawal, users receive an authorization acceptance message via a link sent to their registered phone number. Only the registered owner can proceed with the transaction, ensuring enhanced security and control. Furthermore, the system incorporates a unique verification method and actively monitors the number of individuals within the ATM room. An overcrowding control warning system alerts users with a sound when the occupancy exceeds one person, ensuring a secure environment for transactions. In addition to these features, the system is equipped with a vibration sensor to detect any suspicious activities within the ATM machine. In the event of potential theft, the sensor triggers an immediate alert to the nearby station for swift intervention. Overall, the ATM Privacy Security System offers the highest level of security for both ATM users and bank management. Its comprehensive features and proactive measures provide peace of mind and confidence in the safety of financial transactions.
Downloads
References
Shetiya, P., Mascarenhas, M. and Deshmukh, M., 2020. ATM Security System using Iris Recognition by Image Processing. International Journal of Engineering Research & Technology (IJERT), 9(7), pp.999-1002.
Al Imran, M., Mridha, M.F. and Nur, M.K., 2019, January. OTP based cardless transction using ATM. In 2019 International Conference on Robotics, Electrical and Signal Processing Techniques (ICREST) (pp. 511-516). IEEE.
Takkar, S., Rakhra, M., Ratnani, A., Protyay, D.S., Pandey, P. and Arora, M., 2021, September. Advanced ATM security system using Arduino Uno. In 2021 9th International Conference on Reliability, Infocom Technologies and Optimization (Trends and Future Directions)(ICRITO) (pp. 1-5). IEEE.
Thirumoorthy, D., Rastogi, U., Sundaram, B.B., Mishra, M.K., Pattanaik, B. and Karthika, P., 2021, September. An IoT implementation to ATM safety system. In 2021 Third International Conference on Inventive Research in Computing Applications (ICIRCA) (pp. 744-749). IEEE.
Tyagi, A. and Simon, R., 2019, November. Security enhancement through iris and biometric recognition in atm. In 2019 4th International Conference on Information Systems and Computer Networks (ISCON) (pp. 51-54). IEEE.
Choudhary, P., Tripathi, A., Singh, A.K. and Vashist, P.C., 2020. Implementation of integrated security system by using biometric function in atm machine. In Intelligent Computing in Engineering: Select Proceedings of RICE 2019 (pp. 33-42). Singapore: Springer Singapore.
Ranjitha, R.S., Sheetal, M.S., Vignesh, S.K. and Nitesh, K.A., 2020. Multi-Account Embedded ATM Card with Face Recognition Security System. International Journal of Engineering Research & Technology (IJERT), 8(11), pp.16-20.
Gaikwad, M., Dhumal, M., Kadam, P., Sutar, S. and Kadam, A., 2021. Cardless Multi-Banking ATM System Services using Face Recognition and OTP. NEW ARCH-INTERNATIONAL JOURNAL OF CONTEMPORARY ARCHITECTURE, 8(2), pp.1266-1271.
Ramya, S., Sheeba, R., Aravind, P., Gnanaprakasam, S., Gokul, M. and Santhish, S., 2022, May. Face Biometric Authentication System for ATM using Deep Learning. In 2022 6th International Conference on Intelligent Computing and Control Systems (ICICCS) (pp. 1446- 1451).IEEE.
Boragule, A., Yow, K.C. and Jeon, M., 2023, January. On-device Face Authentication System for ATMs and Privacy Preservation. In 2023 IEEE International Conference on Consumer Electronics (ICCE) (pp. 1-4). IEEE.
Saranya, K., Vijayashaarathi, S., Susaritha, M., Gomathi, S., Pavithra, R. and Kaaviya, S., 2021. Smart Home Automated Control System Using IOT. Annals of the Romanian Society for Cell Biology, pp.15500-15506.
Thiyaneswaran, B., Anguraj, K., Sindhu, M., Yoganathan, N.S. and Jayanthi, J., 2020. Development of Iris biological features extraction for biometric based authentication to prevent covid spread. International Journal of Advanced Science and Technology, 29(3), pp.8266-8275.
Anguraj, K., VM, R., JamunaRani, M. and Ashok, S., 2021. Distance Monitoring Alarm For Covid 19 Using Ultrasonic Sensor. Annals of the Romanian Society for Cell Biology, pp.11571-11578.
Downloads
Published
Issue
Section
License
Copyright (c) 2024 International Journal of Scientific Research in Science and Technology
This work is licensed under a Creative Commons Attribution 4.0 International License.
