Year: 2026
Type: article
Abstract: The rapid evolution of Internet of Things (IoT) technologies and wearable health monitoring devices has changed modern healthcare by enabling continuous remote patient monitoring and collecting real-time personal health records (PHRs). However, privacy, data breaches, authentication failures, and feature dimensionality in large-scale healthcare systems make secure and effective management of sensitive patient health information (PHI) more challenging. This study introduces an AI-powered MedChain system that uses blockchain, advanced cryptography, and smart IoT devices to protect sensitive healthcare data in transit, during classification, and at rest. The proposed system leverages secure consensus-based authentication to tailor protection strategies based on the sensitivity of patient data. This study presents an AI-enabled MedChain framework for the secure management of healthcare data, considering the aspects of sensitive-data classification, feature selection, Generative Adversarial Network (GAN)-based data augmentation, secure encryption, key management, authentication, and blockchain-based record management. The framework begins with C-score Min–Max normalization to preprocess and standardize healthcare records. A novel Fuzzy Intensive Support Scalar Vector Machine (FI-SSVM) computes the Absolute Confidential Feature Scaling Behavior Rate (AC-FSBR) to classify sensitive and non-sensitive data. To mitigate overfitting and high-dimensionality issues, the Spectral Sensitive Fit-Whale Optimization Algorithm (SSF-WOA) is employed for mutual feature selection. Furthermore, a Long Short-Term Memory Generative Adversarial Network (LSTM-GAN) is used to identify sensitive margins and accurately classify personalized health records. For secure storage and transmission, the system integrates with a dedicated blockchain network termed MedChain. Initially, it employs an Integrated Data Hash Indexing Policy (IDHIP) to manage sensitive records, followed by Multi-Parity Starvation Foldable Advanced Encryption Standard (MP-SFAES) for robust block-level encryption. Key management and consensus are governed by the Medi-Consensus Chain Link Policy Key Management (MC-CLPKM). The Metaverse-Master Proofing Registry Authentication Policy uses Secure Handover Mutual Peer-to-Peer (SHM-P2P) to verify identity and govern access. In managing and sharing sensitive healthcare records, AI-driven data classification, blockchain-based immutability, high-level cryptographic encryption, and decentralized design improve visibility, traceability, and efficiency. The proposed MedChain framework thus provides a comprehensive, scalable, and secure infrastructure for next-generation healthcare ecosystems.
Authors: M. Kumari Kala, M. Priya
Institution: Vellore Institute of Technology University
Language: English
Subfield: Information Systems
Field: Computer Science
Domain: Physical Sciences
Open Access status: gold
Estimated APC paid: $2,353
OpenAlex ID: W7225821257