An efficient lightweight encryption model with re‐encryption scheme to create robust blockchain architecture for COVID‐19 data

Abstract

Handling electronic health records from the Internet of Medical Things is one of the most challenging research areas as it consists of sensitive information, which targets attackers. Also, dealing with modern healthcare systems is highly complex and expensive, requiring much secured storage space. However, blockchain technology can mitigate these problems through improved health record management. The proposed work develops a scalable, lightweight framework based on blockchain technology to improve COVID‐19 data security, scalability and patient privacy. Initially, the COVID‐19 related data records are hashed using the enhanced Merkle tree data structure. The hashed values are encrypted by lattice based cryptography with a Homomorphic proxy re‐encryption scheme in which the input data are secured. After completing the encryption process, the blockchain uses inter planetary file system to store secured information. Finally, the Proof of Work concept is utilized to validate the security of the input COVID based data records. The proposed work's experimental setup is performed using the Python tool. The performance metrics like encryption time, re‐encryption time, decryption time, overall processing time, and latency prove the efficacy of the proposed schemes.

Sensitive data identification for multi‐category and multi‐scenario data

“…23 Avula Gopalakrishna and Basarkod propose a scalable and lightweight blockchain framework to enhance COVID-19 data security, scalability, and patient privacy. 24 Josphineleela et al propose a novel optimized fuzzy architecture for blockchain-based IoT data exchange and communication. This architecture uses the TLBO method to improve decision-making capabilities and the Mamdani fuzzy inference system to make the majority of the decisions.…”

“…This system utilizes different analysis flows for persisted and non‐persisted data, achieving both high accuracy and efficiency 23 . Avula Gopalakrishna and Basarkod propose a scalable and lightweight blockchain framework to enhance COVID‐19 data security, scalability, and patient privacy 24 . Josphineleela et al propose a novel optimized fuzzy architecture for blockchain‐based IoT data exchange and communication.…”

The Personal Health Applications of Machine Learning Techniques in the Internet of Behaviors

“…The IoB has significant potential to improve personal healthcare by enabling providers to quantify patient activity levels and examine the efficiency of healthcare activities. Indeed, this technology was used to monitor compliance with health protocols during the pandemic [20]. The IoB can also be used to track human activity and location to reduce the risk of viral contamination and identify unhealthy behaviors, allowing healthcare providers to intervene and prevent health problems.…”