Title: A Biometric IoT Model for Secure Identity Management in Educational Institutions: Integrating Java-Based Fingerprint Systems with Cloud Infrastructure
Authors: Peter Gbenle , Olumese Anthony Abieba, Wilfred Oseremen Owobu , James Paul Onoja, Andrew Ifesinachi Daraojimba, Adebusayo Hassanat Adepoju, Ubamadu Bright Chibunna
Volume: 9
Issue: 4
Pages: 337-363
Publication Date: 2025/04/28
Abstract:
In today's digital era, educational institutions require secure, scalable, and efficient identity management systems to safeguard student and staff data while ensuring seamless access to academic services. Traditional authentication methods such as ID cards and passwords are increasingly vulnerable to fraud, misuse, and administrative inefficiencies. This paper proposes a Biometric Internet of Things (IoT) model for secure identity management by integrating Java-based fingerprint recognition systems with a cloud infrastructure tailored for educational environments. The proposed model leverages biometric authentication to ensure that only authorized individuals gain access to physical and digital institutional resources. Java is employed for its cross-platform capabilities and robust libraries in biometric integration, while the IoT framework facilitates real-time identity verification and data transmission. The architecture is designed around three core layers: the biometric capture and processing layer, the IoT middleware layer for device communication and control, and the cloud-based backend for secure storage, access control, and identity lifecycle management. The model also implements encryption and secure APIs to ensure data privacy and integrity during transmission and storage. Additionally, it supports multi-campus deployment, scalability through cloud resource provisioning, and real-time analytics for monitoring access patterns and detecting anomalies. Simulated deployment in a multi-campus educational setting demonstrates the model's effectiveness in reducing identity fraud, enhancing administrative efficiency, and improving user experience. The integration of biometric IoT with cloud infrastructure enables centralized identity management, rapid user onboarding, and seamless synchronization across multiple devices and platforms. The model also lays the foundation for future integrations with facial recognition, voice biometrics, and advanced analytics. This conceptual model offers a comprehensive, secure, and future-ready approach to identity management tailored for modern educational institutions. It serves as a guide for IT administrators, developers, and policy-makers aiming to transition toward smart campus infrastructures.