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Paper ID:IJSREM68318

SECUREVAULT :Smart IoT-Based Paper Security Box

Stream/Area:

-

Subject:

-

Paper ID:

IJSREM68318

Volume:

10 |

10 |

Oct 2026

Pages:

1-6

Publication Frequency:

Monthly (12 issues per year)

DOI
Digital Object Identifier
10.55041/IJSREM68318

License:International Journal of Scientific Research in Engineering and Management follows the Creative Commons Attribution 4.0 (CC BY 4.0) License, allowing free use and distribution with proper attribution.

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Authors

HA

Hrushikesh Awari

Department of Electronics And Telecommunication Engineering

Priyadarshini College of Engineering, Nagpur, Maharashtra, India.

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SC

Shweta Chaudhari

Department of Electronics And Telecommunication Engineering

Priyadarshini College of Engineering, Nagpur, Maharashtra, India.

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KR

Kareena Rane

Department of Electronics And Telecommunication Engineering

Priyadarshini College of Engineering, Nagpur, Maharashtra, India.

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PT

Pradnyesh Turankar

Department of Electronics And Telecommunication Engineering

Priyadarshini College of Engineering, Nagpur, Maharashtra, India.

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Mentors

DVT

Dr. V.K Taksande

Department of Electronics And Telecommunication Engineering

Priyadarshini College of Engineering, Nagpur, Maharashtra, India.

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Abstract

The increasing need to protect confidential documents from unauthorized access, theft, and physical tampering has created a demand for intelligent and connected security systems. This paper presents SECUREVAULT, a smart IoT-based paper security box that integrates multi-level authentication, automated locking, cloud-based monitoring, and real-time surveillance. The proposed system uses an Arduino ATmega328P as the central controller, interfaced with an RFID card reader, fingerprint sensor, LCD display, buzzer, Wi-Fi communication module, and smart lock mechanism. Initially, the system verifies network connectivity and server credentials before allowing operation. User authentication is performed through sequential RFID card and fingerprint verification, providing two-level access control. Only successfully authenticated users can activate the smart locking mechanism and access the protected vault. Each access attempt, authentication status, user identification, and exact date and time are transmitted to a cloud server for centralized record keeping and remote monitoring through a secure login page. In addition, a smart camera provides continuous surveillance using motion detection, voice detection, night vision, and alarm functions to identify suspicious activities. The proposed architecture combines physical security with IoT-based digital monitoring, creating an auditable and responsive document protection system suitable for offices, educational institutions, laboratories, banks, and other environments requiring secure paper storage.

KEYWORDS

IoT Security RFID Authentication Fingerprint Recognition Smart Lock Cloud Monitoring.

Cite This Article

Hrushikesh Awari, Shweta Chaudhari, Kareena Rane, Pradnyesh Turankar, Dr. V.K Taksande, "SECUREVAULT :Smart IoT-Based Paper Security Box," International Journal of Scientific Research in Engineering and Management, vol. 10, no. 10, pp. 1-6, Oct 2026. https://doi.org/10.55041/IJSREM68318

Full Article/Conclusion

The SECUREVAULT: Smart IoT-Based Paper Security Box successfully provides an integrated approach for protecting confidential paper documents against unauthorized access and security threats. The system combines RFID authentication and fingerprint verification to establish a multi-level access-control mechanism. The Arduino ATmega328P effectively coordinates authentication, LCD display, buzzer alerts, smart-lock operation, and IoT communication. The smart locking mechanism ensures that the vault remains secured and opens only after successful user verification. The IoT-enabled architecture enables important access information, including user identity, authentication status, date, and exact time, to be transmitted and stored on a cloud server. The web-based login interface further supports remote monitoring and management of security records. In addition, the integrated smart camera enhances physical surveillance through motion detection, voice detection, night vision, and alarm functions. Overall, the proposed system combines physical access control, biometric authentication, cloud-based logging, and real-time surveillance into a single security platform. SECUREVAULT can therefore provide a practical solution for protecting confidential documents in offices, educational institutions, laboratories, banks, and other document-sensitive environments.

References

[1] P. Bagga, A. Mitra, A. K. Das, P. Vijayakumar, Y. H. Park, and M. Karuppiah, “Secure biometric-based access control scheme for future IoT-enabled cloud-assisted video surveillance system,” Computer Communications, vol. 195, pp. 27–39, Nov. 2022, doi: 10.1016/j.comcom.2022.08.003. [2] Y. Wang, K. Ragothaman, B. Rimal, and M. Lawrence, “Access control for IoT: A survey of existing research, dynamic policies and future directions,” Sensors, vol. 23, no. 4, Art. no. 1805, 2023, doi: 10.3390/s23041805. [3] C.-W. Lien and S. Vhaduri, “Challenges and opportunities of biometric user authentication in the age of IoT: A survey,” ACM Computing Surveys, vol. 56, no. 1, 2023, doi: 10.1145/3603705. [4] Q. A. Al-Haija and S. O. Al-Salameen, “Biometric authentication system on mobile environment: A review,” Computer Systems Science and Engineering, vol. 48, no. 4, pp. 897–914, 2024, doi: 10.32604/csse.2024.050846. [5] A. I. Awad, A. Babu, E. Barka, and K. Shuaib, “AI-powered biometrics for Internet of Things security: A review and future vision,” Journal of Information Security and Applications, vol. 82, Art. no. 103748, May 2024, doi: 10.1016/j.jisa.2024.103748. [6] A. A. Zainuddin, A. D. Abd Rahman, R. M. Nor, A. A. Amir Hussin, N. N. M. S. N. Mohd Kamal, A. U. Shamsudin, and M. S. Sapuan, “Innovative IoT smart lock system: Enhancing security with fingerprint and RFID technology,” Malaysian Journal of Science and Advanced Technology, vol. 4, no. 4, pp. 360–365, 2024. [7] C. Hasnae, C. Asaad, and S. Soufiane, “An enhanced visual cryptography framework for smart lock authentication,” Discover Internet of Things, vol. 5, Art. no. 136, 2025, doi: 10.1007/s43926-025-00248-9. [8] J. A. J. Alsayaydeh, M. F. Yusof, S. Mamchenko, R. A. Hamzah, and S. G. Herawan, “Design and evaluation of a biometric IoT-based smart lock system with real-time monitoring and alert mechanisms,” International Journal of Advanced Computer Science and Applications, vol. 16, no. 7, 2025. [9] Z. M. A. Iqal, A. Selamat, and O. Krejcar, “A comprehensive systematic review of access control in IoT: Requirements, technologies, and evaluation metrics,” IEEE Access, 2024. [10] Chihi Hasnae, Chahboun Asaad, Mezroui Soufiane “Exploring authentication paradigms in the Internet of Things: A comprehensive scoping review”, Symmetry, vol. 16, no. 2, Art. no. 171, 2024.  

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Publication Date

10/26/2026

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Review Rounds: 2

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