Blockchain-based privacy preservation framework for preventing cyberattacks in smart healthcare big data management systems

Abstract

Blockchain, a distributed ledger technology utilizing cryptographic methods, offers promising solutions for enhancing security and privacy in smart healthcare big data (HBD) management systems. However, scalability remains a significant challenge, as the decentralized nature of blockchain networks often leads to performance bottlenecks and increased transaction costs, especially when managing large volumes of healthcare data. This framework presents a Blockchain-Based Privacy Preservation Framework (PPF) designed to mitigate cyber threats in smart HBD management systems. The framework integrates blockchain technology with privacy-preserving mechanisms, including singular public key cryptography for off-chain data encryption and a private data storage system built on linked ring signatures based on elliptic curve cryptography without certificates. To protect the ecosystem from cyber-attacks targeting data storage facilities and service providers, secure multiparty computation is employed. The proposed solution is evaluated using Python for analysis. Results show an average delay of 27 s for a 2ms block time and 53 s for a 250ms block time. For a file size of 45 MB, the response time is notably low at 9.5 s. The findings demonstrate the framework’s viability, employing Hyper ledger smart contracts to achieve the required level of security while improving system efficiency compared to existing solutions.