Blockchain-Based Smart Multimodal Biometric Multimedia Transmission

Document Type : Research Paper

Authors

1 Professor, Department of Data Science and Artificial Intelligence, Faculty of Information Technology, Al-Ahilya Amman University, Amman, Jordan.

2 Professor, Vice Chancellor and CEO Wigwe University, Isiokpo, Nigeria

10.22059/jitm.2026.107233

Abstract

In recent years, the rapid growth of freely accessible digital and multimedia content, coupled with declining trust in online security, has created an urgent need for more reliable and efficient transmis-sion frameworks. Conventional protection methods—such as passwords and periodically updated encryption keys—have proven inadequate against escalating cyber threats, identity spoofing, and da-ta breaches. This study presents a novel framework that integrates blockchain technology with seam-less biometric authentication to ensure secure data transmission. The system employs multimodal biometric and facial recognition techniques to encrypt multimedia content, while a blockchain ledger verifies, traces, and records all data exchanges within a self-sufficient validation environment. Through architectural design, simulation, and threat modeling, results show that combining multi-modal biometric fusion with blockchain significantly enhances authentication reliability and data integrity, minimizing manipulation and unauthorized access. Unlike traditional systems, the pro-posed framework strengthens data consistency, user identity assurance, and protection from cyberat-tacks—delivering a superior user experience well-suited for next-generation multimedia applica-tions.

Keywords

References

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Journal of Information Technology Management
Volume 18, Issue 2
2026
Pages 110-119

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