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Enhanced ATM Security by GSM-based Authentication
Subject area: Science,Engineering and Technology · Area of research: Finance
Abstract
Rainfall unpredictability remains a major challenge for farmers during the post-harvest drying process, often leading to significant crop losses [1]. This research paper introduces an innovative automated cover system designed to mitigate these losses by protecting harvested crops from unexpected rain. The system is controlled by a single switch, making it a user-friendly and efficient solution that requires minimal maintenance [2]By integrating an automated mechanism capable of rapid deployment and retraction, the system minimizes human intervention while ensuring crop safety [3]This paper delves into the system's design, working principles, and real-world applications, highlighting its potential benefits for the agricultural sector. A comprehensive methodology, including a detailed flow diagram, is presented to demonstrate the system?s operation, effectiveness, and ease of implementation [4]. Additionally, the economic and environmental benefits of this approach are discussed, making a strong case for the adoption of such automated solutions in modern farming practices [5].
Keywords
Multi-Factor Authentication, ATM Security, Biometric Verification, Profile Selection Interface, Banking Technology, Fraud Prevention, Financial Protection
References
[1] Anderson, R., & Moore, T. (2023). "The Economics of Information Security." Journal of Banking & Finance, 48(2), 105-119.
[2] Bhargava, N., & Muthukrishnan, S. (2022). "Multi-Factor Authentication in Modern Banking: A Comprehensive Review." International Journal of Security Studies, 15(3), 221-234.
[3] Chen, Y., Wang, Q., & Zhang, L. (2023). "Biometric Security in Financial Systems: Advances and Challenges." IEEE Transactions on Banking Technology, 38(2), 412-425.
[4] Donaldson, S. E., & Siegel, S. G. (2022). "Advanced Authentication Methods for Financial Transaction Security." Journal of Cybersecurity, 12(4), 331-345.
[5] Evans, D., & Kolesnikov, V. (2024). "The Hidden Costs of ATM Fraud: Economic and Social Implications." Banking Security Journal, 19(1), 76- 89.
[6] Kumar, A., & Verma, S. (2020). "Biometric Integration in Financial Systems: Early Implementations and Challenges." Journal of Banking Security, 8(3), 214-229.
[7] Chen, X., Liu, Y., & Wong, D. (2022). "Advancements in Fingerprint Recognition Algorithms for Financial Applications." IEEE Transactions on Pattern Analysis, 44(5), 876- 891.
[8] Zhang, H., & Rodriguez, M. (2021). "Multi-User Banking Frameworks: Backend Authorization Models." Journal of Financial Technology, 17(2), 145-161.
[9] Miyazaki, T. (2023). "Real-Time Security Alerts in Banking: Impact on Fraud Prevention." International Journal of Banking Technology, 10(4), 312-327.
[10] Johannson, E. (2021). "Theoretical Frameworks for Shared Banking Access with Individual Accountability." Journal of Financial Security, 13(3), 241-258.
[11] Patel, R., & Nguyen, V. (2022). "Fingerprint Minutiae Extraction and Matching Techniques." IEEE Security & Privacy, 20(1), 42-57.
[12] Ramos, L., & Garcia, J. (2023). "User Experience Design in Financial Security Systems." Journal of Human -Computer Interaction, 29(4), 367-382.
[13] Smith, J., & Wilson, K. (2024). "Regulatory Compliance Challenges in Biometric Banking." Banking Law Review, 16(2), 183-198.
[14] Tanaka, H., & Jones, P. (2022). "Database Security Architecture for Sensitive Biometric Data." Journal of Applied Cryptography, 15(3), 229-245.
[15] Upadhyay, S., & Desai, R. (2023). "Cloud-Based Authentication Services for Financial Institutions." International Journal of Cloud Computing, 11(4), 321-337.
How to cite this paper
@article{1708163,
author = {Isaac Aaron, G. Vivek Sathya, Hanumakonda Aryan, I. Uma, Krishna Teja; Baini Anusha Rani},
title = {Enhanced ATM Security by GSM-based Authentication},
journal = {Iconic Research And Engineering Journals},
year = {2025},
volume = {8},
number = {10},
pages = {1473-1477},
issn = {2456-8880},
url = {https://www.irejournals.com/formatedpaper/1708163.pdf},
abstract = {Rainfall unpredictability remains a major challenge for farmers during the post-harvest drying process, often leading to significant crop losses [1]. This research paper introduces an innovative automated cover system designed to mitigate these losses by protecting harvested crops from unexpected rain. The system is controlled by a single switch, making it a user-friendly and efficient solution that requires minimal maintenance [2]By integrating an automated mechanism capable of rapid deployment and retraction, the system minimizes human intervention while ensuring crop safety [3]This paper delves into the system's design, working principles, and real-world applications, highlighting its potential benefits for the agricultural sector. A comprehensive methodology, including a detailed flow diagram, is presented to demonstrate the system?s operation, effectiveness, and ease of implementation [4]. Additionally, the economic and environmental benefits of this approach are discussed, making a strong case for the adoption of such automated solutions in modern farming practices [5].},
keywords = {Multi-Factor Authentication, ATM Security, Biometric Verification, Profile Selection Interface, Banking Technology, Fraud Prevention, Financial Protection},
month = {April},
}