Medical data security and effective organization using integrated Blockchain principles in AI-based healthcare 6.0 infrastructures

Abstract

The future industry development for healthcare services needs an integrated edge, fog, and cloud computing infrastructures. The medical data security and integrity schemes help to operate the data carefully in healthcare networks. The research on HC-6.0 deals with hospital management, blockchain-based data security, and Artificial Intelligence (AI)-based medical data analysis solutions. However, conventional blockchain principles and AI-based industry solutions are vulnerable to attacks and real-time complexities. The drawbacks of current healthcare industry attainments on HC-6.0 include limited flexibility in data interoperability, multi-dimensional blockchain construction, and efficient data diagnosis principles. Blockchain technology requires future-ready solutions with AI functions. Medical data interoperability among different computing platforms needs intelligent security options. Moreover, adapting conventional blockchain network principles in healthcare platforms is unsuitable due to single-root Merkle tree structures. On the scope, the proposed Intelligent and Secure Medical Data Interoperability (ISMDI) system has been developed using integrated blockchain constructions. To attain more organized data operations, security benefits, data interoperability, and confidentiality, the ISMDI system inducts novel procedures for establishing efficient HC-6.0 infrastructures. The internal procedures of the ISMDI system include Multi-Sensor Data Collection, Deep Contractive Auto Encoder (CAE)-based Reduction, Edge-Level Merkle Tree Formation, Multi-Level Blockchain Construction, Edge Coordinated Blockchain Tree at Fog Computing Centre Point, and Fog-based Secure and Distributed Sensor Data Analysis functions (Bidirectional Long Short Term Memory (BLSTM)). The article justifies the successful implementation of the ISMDI procedures, stating that the performance of the proposed model provides 12% to 16% better results than the existing healthcare schemes.

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