hChain 4.0: A Secure and Scalable Permissioned Blockchain for EHR Management in Smart Healthcare

• URL: http://arxiv.org/abs/2505.13861v1
• Date: Tue, 20 May 2025 03:13:48 GMT
• Title: hChain 4.0: A Secure and Scalable Permissioned Blockchain for EHR Management in Smart Healthcare
• Authors: Musharraf N. Alruwaill, Saraju P. Mohanty, Elias Kougianos,
• Abstract summary: hChain 4.0 employs a permissioned blockchain to provide a secure and scalable data infrastructure.<n>The proposed framework enables anonymized health data sharing for medical research by pseudonymizing patient identity.<n> Experimental assessments indicate that the proposed approach achieves higher scalability, cost-effectiveness, and validated security.
• Score: 0.0
• License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/
• Abstract: The growing utilization of Internet of Medical Things (IoMT) devices, including smartwatches and wearable medical devices, has facilitated real-time health monitoring and data analysis to enhance healthcare outcomes. These gadgets necessitate improved security measures to safeguard sensitive health data while tackling scalability issues in real-time settings. The proposed system, hChain 4.0, employs a permissioned blockchain to provide a secure and scalable data infrastructure designed to fulfill these needs. This stands in contrast to conventional systems, which are vulnerable to security flaws or rely on public blockchains, constrained by scalability and expense. The proposed approach introduces a high-privacy method in which health data are encrypted using the Advanced Encryption Standard (AES) for time-efficient encryption, combined with Partial Homomorphic Encryption (PHE) to enable secure computations on encrypted data, thereby enhancing privacy. Moreover, it utilizes private channels that enable isolated communication and ledger between stakeholders, ensuring robust privacy while supporting collaborative operations. The proposed framework enables anonymized health data sharing for medical research by pseudonymizing patient identity. Additionally, hChain 4.0 incorporates Attribute-Based Access Control (ABAC) to provide secure electronic health record (EHR) sharing among authorized parties, where ABAC ensures fine-grained permission management vital for multi-organizational healthcare settings. Experimental assessments indicate that the proposed approach achieves higher scalability, cost-effectiveness, and validated security.

Related papers

• Trusted Compute Units: A Framework for Chained Verifiable Computations [41.94295877935867]
  This paper introduces the Trusted Compute Unit (TCU), a unifying framework that enables composable and interoperable computations across heterogeneous technologies.<n>By enabling secure off-chain interactions without incurring on-chain confirmation delays or gas fees, TCUs significantly improve system performance and scalability.
  arXiv  Detail & Related papers  (2025-04-22T09:01:55Z)
• Revolutionizing Healthcare Record Management: Secure Documentation Storage and Access through Advanced Blockchain Solutions [0.0]
  This research introduces a novel blockchain-based EHR system designed to significantly enhance security, scalability, and accessibility.<n>The proposed system leverages a hybrid security algorithm combining Argon2 and AES and integrates a hybrid storage and consensus mechanism.<n>It utilizes advanced blockchain tools like MetaMask, Ganache, and Truffle to facilitate interaction with the decentralized network.
  arXiv  Detail & Related papers  (2025-03-02T05:39:14Z)
• Balancing Confidentiality and Transparency for Blockchain-based Process-Aware Information Systems [46.404531555921906]
  We propose an architecture for blockchain-based PAISs aimed at preserving both confidentiality and transparency.<n>Smart contracts enact, enforce and store public interactions, while attribute-based encryption techniques are adopted to specify access grants to confidential information.
  arXiv  Detail & Related papers  (2024-12-07T20:18:36Z)
• Block MedCare: Advancing healthcare through blockchain integration [0.0]
  This paper investigates the integration of blockchain technology in healthcare. It focuses on its potential to revolutionize Electronic Health Records (EHR) management and data sharing. We propose a novel system that empowers patients to securely store and manage their medical data.
  arXiv  Detail & Related papers  (2024-10-07T17:54:13Z)
• An Intelligent Quantum Cyber-Security Framework for Healthcare Data Management [4.828148213747833]
  This paper introduces a comprehensive quantum-based framework to overwhelm the potential security and privacy issues for secure healthcare data management. The proposed framework delivers overall healthcare data management by coupling the advanced and more competent quantum approach with machine learning. The experimental evaluation and comparison of the proposed IQ-HDM framework with state-of-the-art methods outline a considerable improvement up to 67.6%, in tackling cyber threats related to healthcare data security.
  arXiv  Detail & Related papers  (2024-10-04T08:04:48Z)
• SPOQchain: Platform for Secure, Scalable, and Privacy-Preserving Supply Chain Tracing and Counterfeit Protection [46.68279506084277]
  This work proposes SPOQchain, a novel blockchain-based platform that provides comprehensive traceability and originality verification. It provides an analysis of privacy and security aspects, demonstrating the need and qualification of SPOQchain for the future of supply chain tracing.
  arXiv  Detail & Related papers  (2024-08-30T07:15:43Z)
• A Scalable Multi-Layered Blockchain Architecture for Enhanced EHR Sharing and Drug Supply Chain Management [3.149883354098941]
  This paper presents a scalable, multi-layered blockchain architecture for secure Electronic Health Record sharing and drug supply chain management.<n>The proposed framework introduces five distinct layers that enhance system performance, security, and patient-centric access control.<n>Our solution ensures data integrity, privacy, and interoperability, making it compatible with existing healthcare systems.
  arXiv  Detail & Related papers  (2024-02-27T09:20:16Z)
• Blockchain-empowered Federated Learning for Healthcare Metaverses: User-centric Incentive Mechanism with Optimal Data Freshness [66.3982155172418]
  We first design a user-centric privacy-preserving framework based on decentralized Federated Learning (FL) for healthcare metaverses. We then utilize Age of Information (AoI) as an effective data-freshness metric and propose an AoI-based contract theory model under Prospect Theory (PT) to motivate sensing data sharing.
  arXiv  Detail & Related papers  (2023-07-29T12:54:03Z)
• FedBlockHealth: A Synergistic Approach to Privacy and Security in IoT-Enabled Healthcare through Federated Learning and Blockchain [2.993954417409032]
  The rapid adoption of Internet of Things (IoT) devices in healthcare has introduced new challenges in preserving data privacy, security and patient safety. Traditional approaches need to ensure security and privacy while maintaining computational efficiency. This paper proposes a novel hybrid approach combining federated learning and blockchain technology to provide a secure and privacy-preserved solution.
  arXiv  Detail & Related papers  (2023-04-16T01:55:31Z)
• Privacy-Preserving Joint Edge Association and Power Optimization for the Internet of Vehicles via Federated Multi-Agent Reinforcement Learning [74.53077322713548]
  We investigate the privacy-preserving joint edge association and power allocation problem. The proposed solution strikes a compelling trade-off, while preserving a higher privacy level than the state-of-the-art solutions.
  arXiv  Detail & Related papers  (2023-01-26T10:09:23Z)
• A Blockchain-Based Consent Mechanism for Access to Fitness Data in the Healthcare Context [0.966840768820136]
  This study introduces an architecture for a human-centric, legally compliant, decentralized and dynamic consent system based on blockchain and smart contracts. The security properties of the proposed system were evaluated using the formal security modeling framework SeMF.
  arXiv  Detail & Related papers  (2022-02-25T09:51:02Z)
• User-Centric Health Data Using Self-sovereign Identities [69.50862982117127]
  This article presents the potential use of the issuers Self-Sovereign Identities (SSI) and Distributed Ledger Technologies (DLT) to improve the privacy and control of health data. The paper lists the prominent use cases of decentralized identities in the health area, and discusses an effective blockchain-based architecture.
  arXiv  Detail & Related papers  (2021-07-26T17:09:52Z)

This list is automatically generated from the titles and abstracts of the papers in this site.

This site does not guarantee the quality of this site (including all information) and is not responsible for any consequences.