Home⇛Asia-Pacific Journal of Advanced Research and Innovation⇛vol. 1 no. 1 (2025)

Biometric Cloud-Based Authentication System Using Blockchain Technology And Raspberry Pi At The University Of Perpetual Help System Laguna – Isabela Campus

Jemel Alforo | Ryan Corpuz | Cyzlon Fernandez | Maricel Tabago | Rochelle Fortuna | Rovelinda Garduque

Discipline: information systems

 

Abstract:

The University of Perpetual Help System Laguna – Isabela Campus currently utilizes a manual attendance logging system, which not only consumes excessive paper resources but also contributes to inefficiencies in data entry and storage. To address these challenges, this project developed a Biometric Cloud-Based Authentication System that integrates Blockchain Technology and Raspberry Pi to enhance security, transparency, and authentication processes. Designed specifically for authorized personnel, the system captures fingerprint data, encrypts it using blockchain mechanisms, and securely stores it in a cloud database for efficient management and retrieval. By eliminating traditional paper-based methods, the system significantly reduces security risks associated with conventional authentication practices. The successful implementation of this project offers a model for educational institutions and other organizations aiming to strengthen security measures while streamlining operational workflows. Overall, this innovation advances biometric-based authentication by leveraging cutting-edge technologies to ensure data integrity, privacy, and accessibility.



References:

  1. Alzubaidi, M. A., & Kalutarage, H. (2021). Enhancing educational systems through biometric authentication. Education and Information Technologies, 26(1), 923–939. https://doi.org/10.1007/s10639-020-10294-3
  2. Almeida, P., Garcia, A., & Silva, M. (2023). Energy-efficient systems for biometric authentication using edge computing: A review. Journal of Computational Engineering, 12(3), 112–125. https://doi.org/10.1016/j.jce.2023.01.001
  3. Amara Devendra Dinesh, R., Vasanth, K., & Saranya, M. (2021). Securing biometric data using blockchain technology. International Journal of Computer Applications, 183(11), 1–6.
  4. Ashraf, M. W., & Ali, S. (2020). User acceptance of biometric authentication in online transactions: An empirical study. International Journal of Computer Science and Information Security, 18(1), 24–30.
  5. Calo, A.-M. V., Barbosa, J. B., & Llevado, J. C. (2021). In-classroom faculty attendance monitoring system based on ultra high frequency (UHF) RFID with captured image cross-verification mechanism. Indian Journal of Science and Technology, 14(45), 3335–3343. https://doi.org/10.17485/IJST/v14i45.1782
  6. Carmen, B., Martínez, A., & López, C. (2021). Blockchain-based authentication systems for secure identity verification: A review. Sensors, 21(10), 3401. https://doi.org/10.3390/s21103401
  7. Cuya, K. C., & Palaoag, T. D. (2024). Blockchain in higher education: Advancing security, verification, and trust in academic credentials. Nanotechnology Perceptions, 20(S3), 373–386.
  8. Durga, R., Ramu, P., & Suresh, K. (2022). Securing biometric data using blockchain technology: A comprehensive review. Materials Today: Proceedings, 56, 2298–2303. https://doi.org/10.1016/j.matpr.2022.03.605
  9. Gorkhali, A., Li, J., & Shrestha, A. (2020). Secure and decentralized biometric authentication using blockchain. In Proceedings of the 2020 IEEE International Conference on Consumer Electronics (ICCE) (pp. 1–6). IEEE. https://doi.org/10.1109/ICCE46568.2020.9043082
  10. Nueva, C. H., Tapic, F. M. J., Pineda, I. T., Melendrez, J. K. T., Jimena, P. C., & Alquiza, R. J. (2024). RFID-based student attendance monitoring system with SMS notification using Arduino for Bestlink College of the Philippines. Ascendens Asia Singapore – Bestlink College of the Philippines Journal of Multidisciplinary Research, 3(1A). Retrieved from https://ojs.aaresearchindex.com/index.php/aasgbcpjmra/article/view/12810
  11. Philippine Institute for Development Studies. (2021, November 5). Blockchain and government efficiency [Policy note]. Retrieved from https://www.pids.gov.ph/details/blockchain-and-government-efficiency
  12. Saleh Alwahaishi, & Jaroslav Zdrálek. (2021). Biometric authentication systems: Developments, challenges, and trends. Information Security Journal: A Global Perspective, 30(4), 186–195. https://doi.org/10.1080/19393555.2021.1933607
  13. Sathishkumar, V. E., & Sumathi, R. (2018). Smart attendance monitoring system using Raspberry Pi. International Journal of Innovative Research in Computer and Communication Engineering, 6(3), 232–237.
  14. Shah, A., & Kumar, V. (2022). Biometric-based authentication systems for academic environments: A review and future trends. Journal of Higher Education Technology, 11(3), 215–229. https://doi.org/10.1016/j.jhet.2022.05.008
  15. Yaga, D., Mell, P., Roby, N., & Scarfone, K. (2019). Blockchain technology overview (NIST IR 8202). National Institute of Standards and Technology. https://doi.org/10.6028/NIST.IR.8202
  16. Zhang, X., Wang, Y., & Zhao, L. (2020). Cross-platform applications for university security systems: A case study using biometric solutions. Journal of Mobile Technology and Security, 5(2), 101–113. https://doi.org/10.1016/j.jmts.2020.02.007
  17. Zyskind, G., Nathan, O., & Pentland, A. (2015). Decentralizing privacy: Using blockchain to protect personal data. IEEE Security and Privacy Workshops (SPW), 180–184. https://doi.org/10.1109/SPW.2015.27

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