A Blockchain-Based Consent Mechanism for Access to Fitness Data in the Healthcare Context

• URL: http://arxiv.org/abs/2202.12582v2
• Date: Wed, 2 Mar 2022 20:48:09 GMT
• Title: A Blockchain-Based Consent Mechanism for Access to Fitness Data in the Healthcare Context
• Authors: May Alhajri, Carsten Rudolph and Ahmad Salehi Shahraki
• Abstract summary: 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.
• Score: 0.966840768820136
• License: http://creativecommons.org/licenses/by/4.0/
• Abstract: Wearable fitness devices are widely used to track an individual's health and physical activities to improve the quality of health services. These devices sense a considerable amount of sensitive data processed by a centralized third party. While many researchers have thoroughly evaluated privacy issues surrounding wearable fitness trackers, no study has addressed privacy issues in trackers by giving control of the data to the user. Blockchain is an emerging technology with outstanding advantages in resolving consent management privacy concerns. As there are no fully transparent, legally compliant solutions for sharing personal fitness data, this study introduces an architecture for a human-centric, legally compliant, decentralized and dynamic consent system based on blockchain and smart contracts. Algorithms and sequence diagrams of the proposed system's activities show consent-related data flow among various agents, which are used later to prove the system's trustworthiness by formalizing the security requirements. The security properties of the proposed system were evaluated using the formal security modeling framework SeMF, which demonstrates the feasibility of the solution at an abstract level based on formal language theory. As a result, we have empirically proven that blockchain technology is suitable for mitigating the privacy issues of fitness providers by recording individuals' consent using blockchain and smart contracts.

Related papers

• 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)
• Secure and Transparent Medical Record Management System Using Python and Blockchain [0.0]
  We propose a robust health record storage and management system built on blockchain technology. Unlike traditional databases, blockchain distributes data across a network of nodes, ensuring redundancy and resilience against cyber-attacks. Our system prioritizes patient empowerment by granting individuals complete control over their health records.
  arXiv  Detail & Related papers  (2024-08-04T16:29:13Z)
• Enhancing Trust and Privacy in Distributed Networks: A Comprehensive Survey on Blockchain-based Federated Learning [51.13534069758711]
  Decentralized approaches like blockchain offer a compelling solution by implementing a consensus mechanism among multiple entities. Federated Learning (FL) enables participants to collaboratively train models while safeguarding data privacy. This paper investigates the synergy between blockchain's security features and FL's privacy-preserving model training capabilities.
  arXiv  Detail & Related papers  (2024-03-28T07:08:26Z)
• Generative AI-enabled Blockchain Networks: Fundamentals, Applications, and Case Study [73.87110604150315]
  Generative Artificial Intelligence (GAI) has emerged as a promising solution to address challenges of blockchain technology. In this paper, we first introduce GAI techniques, outline their applications, and discuss existing solutions for integrating GAI into blockchains.
  arXiv  Detail & Related papers  (2024-01-28T10:46:17Z)
• Healthcare Policy Compliance: A Blockchain Smart Contract-Based Approach [0.312488427986006]
  Despite stringent regulations like HIPAA, significant gaps in policy compliance often remain undetected until a data breach occurs. To bridge this gap, we propose a novel blockchain-powered, smart contract-based access control model. Our approach integrates components of informed consent into PPAs, employing blockchain smart contracts to automate and secure policy enforcement.
  arXiv  Detail & Related papers  (2023-12-15T21:25:07Z)
• 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)
• 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)
• Privacy of Fitness Applications and Consent Management in Blockchain [0.966840768820136]
  This paper describes the importance of adopting and applying legal frameworks within the fitness tracker ecosystem. We identify four main problems related to preserving the privacy of users of fitness apps. We conclude by describing how blockchain is suitable for solving these privacy issues.
  arXiv  Detail & Related papers  (2022-03-01T23:31:47Z)
• 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)
• A Review-based Taxonomy for Secure Health Care Monitoring: Wireless Smart Cameras [9.4545147165828]
  This research focuses on the secure storage of patient and medical records in the healthcare sector. A potential solution comes from biometrics, although their use may be time-consuming and can slow down data retrieval. This research aims to overcome these challenges and enhance data access control in the healthcare sector through the addition of biometrics in the form of fingerprints.
  arXiv  Detail & Related papers  (2021-07-05T11:59:10Z)
• Second layer data governance for permissioned blockchains: the privacy management challenge [58.720142291102135]
  In pandemic situations, such as the COVID-19 and Ebola outbreak, the action related to sharing health data is crucial to avoid the massive infection and decrease the number of deaths. In this sense, permissioned blockchain technology emerges to empower users to get their rights providing data ownership, transparency, and security through an immutable, unified, and distributed database ruled by smart contracts.
  arXiv  Detail & Related papers  (2020-10-22T13:19:38Z)

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.