Computational evaluation demonstrates improved storage efficiency and reduced transaction costs for clinical data, indicating a scalable model for secure healthcare cloud computing.
Key Points
To develop and evaluate the Blockchain-Integrated Cloud Compression Model (BICCM) to simultaneously deliver cryptographic security, storage efficiency, and high operational throughput for clinical healthcare data.
Designed a three-tier architecture combining Ethereum smart contracts with Role-Based Access Control (RBAC), Zero-Knowledge Proof (ZKP) authentication, Lempel-Ziv-Welch (LZW) compression on light nodes, and SHA-256 cloud hash anchoring.
Evaluated performance using COVID-19 medical records from the Pakistan Bureau of Statistics across six file size tiers (4.93 to 39.80 KB), benchmarking against LZ-String, LZ77, Run-Length Encoding, and Huffman algorithms.
Achieved 65.81% to 85.34% storage reduction, 64.3% to 84.4% gas savings (mean 76.4%), 45.4% to 83.2% execution-time improvement, and a 50% transaction cost reduction compared to standard Ethereum.
Attained compression ratios from 2.92 to 6.82 across all data sizes, outperforming all four comparative algorithms while auxiliary node deployment lowered smart contract deployment costs by 88.6%.