Multimedia Data Transmission with Secure Routing in M-IOT-based Data Transmission using Deep Learning Architecture

Abstract

The proliferation of Multimedia Internet of Things (MIoT) introduces unprecedented challenges in ensuring the security and reliability of data transmission. This paper proposes a novel approach, the Hierarchical Trust Aware Blockchain (HTaB) model, designed to address the complex requirements of MIoT networks. The HTaB model combines the strengths of blockchain technology and a hierarchical trust structure to enhance data integrity, secure routing, and trust management. The integrated blockchain component of the HTaB model is rigorously evaluated, demonstrating the validation of eight blocks per second, a consensus mechanism time of 15 milliseconds, and an average block creation time of 12 seconds. These metrics affirm the efficiency and responsiveness of the blockchain in safeguarding MIoT data transmissions. Simulation results across varying network sizes showcase the scalability of the HTaB model, indicating high throughput, low Latency, and a robust packet delivery ratio. Comparative analyses against Conventional RPL and a Generic Trust Scheme underscore the competitive advantages of the HTaB model, exhibiting superior energy efficiency, higher throughput, a remarkable packet delivery ratio, and minimal packet loss. This paper comprehensively explains the HTaB model’s capabilities in securing and efficiently transmitting multimedia data within MIoT networks. The proposed model presents a promising solution for addressing the evolving challenges in MIoT environments, providing a foundation for further research and practical implementation in real-world scenarios.