RETRACTED ARTICLE: Smart healthcare system using integrated and lightweight ECC with private blockchain for...

Area of Science:

• Health Informatics
• Cybersecurity
• Medical Imaging

Background:

• Healthcare 4.0 systems face challenges in secure medical data processing, particularly for sensitive biomedical images.
• Protecting patient privacy during the transfer and storage of multimedia medical records (X-rays, CT, MRI) is a significant concern.

Purpose of the Study:

• To propose a novel blockchain-based system for secure biomedical image processing within Healthcare 4.0.
• To ensure patient anonymity and data integrity while enabling secure access for medical professionals.

Main Methods:

• An integrated architecture involving edge, fog, and cloud layers with a blockchain for secure data storage.
• Implementation of lightweight cryptography using Elliptic Curve Cryptography (ECC), including Elliptic Curve Diffie-Hellman (ECDH) and Elliptic Curve Digital Signature Algorithm (ECDSA).
• Secure transmission and storage of multimedia data via fog nodes to blockchain-assisted cloud storage.

Main Results:

• The proposed system demonstrated higher computational efficiency in terms of encryption and decryption times.
• Experimental results showed improved Peak to Signal Noise Ratio (PSNR) and Mean Squared Error (MSE) for processed images.
• The system effectively maintains patient anonymity and secures biomedical image processing.

Conclusions:

• The blockchain-based system offers a secure and efficient solution for processing biomedical images in Healthcare 4.0.
• The use of ECC-based lightweight cryptography is effective in protecting patient privacy and data security.
• The proposed architecture enhances the reliability and safety of medical data management.