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Dual attention-based deep learning with blockchain for multimedia data processing and secure access control in IoHT.

G Karthik Reddy¹, Nageswara Rao Lavuri², Shabana Urooj³

¹Department of Electronics and Communication Engineering, MLR Institute of Technology, Dundigal, Hyderabad, Telangana, 500043, India.

Scientific Reports

|November 18, 2025

Summary

This study introduces a secure framework for the Internet of Healthcare Things (IoHT) using blockchain technology and a Dual Attention-based Deep Bayesian Network (DA-DBN) for efficient multimedia data processing and access control, enhancing healthcare security.

Keywords:

Blockchain Dual attention-based deep Bayesian network Internet of medical things Multimedia data processing Secure access control

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Area of Science:

Medical Informatics
Cybersecurity
Distributed Ledger Technology

Background:

The Internet of Healthcare Things (IoHT) faces challenges in securing sensitive multimedia patient data and ensuring efficient data integration across platforms.
Current systems struggle with the processing of large volumes of medical data, posing security risks and demanding significant human labor.
Blockchain technology offers robust encryption and peer-to-peer capabilities, presenting a viable solution for enhancing IoHT security and data management.

Purpose of the Study:

To develop an efficient multimedia data processing system for the Internet of Healthcare Things (IoHT) leveraging blockchain technology.
To enhance security control and resource distribution within IoHT environments.
To implement an advanced access control model, the Dual Attention-based Deep Bayesian Network (DA-DBN), for securing multimedia content.

Main Methods:

Utilized blockchain technology to create a secure framework for multimedia data in IoHT.
Implemented a Dual Attention-based Deep Bayesian Network (DA-DBN) for real-time security control and access management.
Generated data hashes on the blockchain to detect any alterations or changes in the stored multimedia information.

Main Results:

The proposed system successfully provides a secured framework for multimedia content in IoHT using blockchain and DA-DBN.
The DA-DBN model demonstrated 23.88% faster access control compared to the Support Vector Machine (SVM) method.
The system effectively manages security and access control, validating its potential for IoHT-based health management.

Conclusions:

The developed blockchain-aided system offers an efficient and secure solution for multimedia data processing in IoHT.
The DA-DBN model significantly improves access control speed and overall system security.
The proposed model is well-suited for securing IoHT applications and managing sensitive health data effectively.