A Comprehensive Approach to a Hybrid Blockchain Framework for Multimedia Data Processing and Analysis in IoT-Healthcare
N.R. Mohamed Kareemulla, Dr.G.S. Nijaguna, Pus hpa, Dr.N. Dayanand Lal, Dr.M. Naga Raju, Zameer Ahmed Adhoni
Abstract
In today's healthcare environment, incorporating cutting-edge technology is crucial to tackle the increasing difficulties and guarantee effective patient care. Comprehensive healthcare information relies heavily on multimedia data, including various sources such as photos, videos, and sensor data. This paper explores the importance of Multimedia Data Processing and Analysis in healthcare and emphasizes the need for creative frameworks to manage this data efficiently. The current solutions need help with security, transparency, and interoperability, therefore requiring a fundamental change in approach. This study introduces the Hybrid Blockchain Framework for IoT-Healthcare Application (HDF-IoT-HA), which combines web-based communication, dual networks consisting of miners and execution nodes, and a hybrid blockchain system. The structure places a high emphasis on ensuring that data interactions between patients and medical professionals are both safe and transparent. The simulation results demonstrate the impressive capabilities of HDF-IoT-HA, including an average Transaction Efficiency of 97.63%, a reduction in latency of 9.82 ms, an improvement in system reliability of 27.46%, a security rating of 95.66%, and an extended network lifetime of 135.11 hours. These results highlight the framework's effectiveness in improving communication in healthcare, maintaining data security, and strengthening the dependability of systems in IoT-enabled medical applications.