Blockchain-Enabled Secure and Efficient Data Sharing Scheme for Trust Management in Healthcare Smartphone Network

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This paper proposes a blockchain-based system using a clustered hierarchical trust management system and ECC to detect compromised IoMT nodes, safeguard patient records, and improve security and reliability in healthcare smartphone networks.

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This preprint studies secure data sharing and trust management for healthcare smartphone networks in an Internet of Medical Things setting, focusing on scenarios where attackers gain access through compromised or malicious IoMT nodes. The authors propose a Hyperledger blockchain-based method to identify compromised nodes, a Clustered Hierarchical Trust Management System to block malicious nodes, and elliptic curve cryptography to protect sensitive health records, evaluating resilience to denial of service, eclipse attacks, and terminal device failure. Their simulation-based evaluation reports improved detection performance compared with existing state-of-the-art and suggests better security and reliability than conventional databases. A major caveat stated is that the work is a preprint that has not been peer reviewed by a journal and is currently under review. The paper does not explicitly discuss endometriosis or adenomyosis; it was included in the corpus via a keyword match in the upstream search index.

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Abstract

Internet of Medical Things (IoMT) is an extended genre of Internet of Things (IoT) where the Things collaborate to provide remote patient health monitoring, also known as the Internet of Health (IoH). Smartphones and IoMTs' are expected to maintain a secure and trusted confidential patient-records exchange while managing the patient remotely. Healthcare organizations deploy Healthcare Smartphone Networks (HSN) for confidential patient data collection and sharing among smartphone users and IoMT nodes. However, the attackers gain access to confidential patient data via compromised/malicious IoMT nodes from the HSN. Additionally, attackers can compromise the entire network via the compromised nodes. This article proposes a Hyperledger blockchain-based technique to identify the compromised IoMT nodes and safeguard sensitive patient records. Furthermore, the paper proposes a Clustered Hierarchical Trust Management System (CHTMS) to block malicious nodes. In addition, the proposal employs Elliptic Curve Cryptography (ECC) to protect sensitive health records. Similarly, the proposed approach is resilient against denial of service, eclipse attacks, and terminal device failure. Finally, the evaluation results show that integrating blockchains into the HSN system improved the detection performance compared to the existing state-of-the-art. Therefore, the simulation results indicate better security and reliability when compared to conventional databases.
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Blockchain-Enabled Secure and Efficient Data Sharing Scheme for Trust Management in Healthcare Smartphone Network | Research Square window.SnipcartSettings = { analytics: { enabled: false } }; (function() { var accessVector = localStorage.getItem('access_vector') || ''; window.dataLayer = window.dataLayer || []; if (accessVector) { window.dataLayer.push({ user: { profile: { profileInfo: { snid: accessVector } } } }); } })(); (function(w,d,s,l,i){w[l]=w[l]||[];w[l].push({'gtm.start':new Date().getTime(),event:'gtm.js'});var f=d.getElementsByTagName(s)[0],j=d.createElement(s),dl=l!='dataLayer'?'&l='+l:'';j.async=true;j.src='https://www.googletagmanager.com/gtm.js?id='+i+dl;f.parentNode.insertBefore(j,f);})(window,document,'script','dataLayer','GTM-K279D39R'); Browse Preprints In Review Journals COVID-19 Preprints AJE Video Bytes Research Tools Research Promotion AJE Professional Editing AJE Rubriq About Preprint Platform In Review Editorial Policies Our Team Advisory Board Help Center Sign In Submit a Preprint Cite Share Download PDF Research Article Blockchain-Enabled Secure and Efficient Data Sharing Scheme for Trust Management in Healthcare Smartphone Network Rati Bhan Rati Bhan, Rajendra Pamula Rajendra Pamula, Parvez Faruki Parvez Faruki, and 1 more This is a preprint; it has not been peer reviewed by a journal. https://doi.org/ 10.21203/rs.3.rs-2034814/v1 This work is licensed under a CC BY 4.0 License Status: Under Review Version 1 posted 8 You are reading this latest preprint version Abstract Internet of Medical Things (IoMT) is an extended genre of Internet of Things (IoT) where the Things collaborate to provide remote patient health monitoring, also known as the Internet of Health (IoH). Smartphones and IoMTs' are expected to maintain a secure and trusted confidential patient-records exchange while managing the patient remotely. Healthcare organizations deploy Healthcare Smartphone Networks (HSN) for confidential patient data collection and sharing among smartphone users and IoMT nodes. However, the attackers gain access to confidential patient data via compromised/malicious IoMT nodes from the HSN. Additionally, attackers can compromise the entire network via the compromised nodes. This article proposes a Hyperledger blockchain-based technique to identify the compromised IoMT nodes and safeguard sensitive patient records. Furthermore, the paper proposes a Clustered Hierarchical Trust Management System (CHTMS) to block malicious nodes. In addition, the proposal employs Elliptic Curve Cryptography (ECC) to protect sensitive health records. Similarly, the proposed approach is resilient against denial of service, eclipse attacks, and terminal device failure. Finally, the evaluation results show that integrating blockchains into the HSN system improved the detection performance compared to the existing state-of-the-art. Therefore, the simulation results indicate better security and reliability when compared to conventional databases. Full Text Additional Declarations No competing interests reported. Cite Share Download PDF Status: Under Review Version 1 posted Editorial decision: Major revision 16 Feb, 2023 Reviews received at journal 26 Jan, 2023 Reviewers agreed at journal 26 Jan, 2023 Reviewers agreed at journal 26 Jan, 2023 Reviewers invited by journal 26 Jan, 2023 Editor assigned by journal 07 Sep, 2022 Submission checks completed at journal 07 Sep, 2022 First submitted to journal 05 Sep, 2022 You are reading this latest preprint version Research Square lets you share your work early, gain feedback from the community, and start making changes to your manuscript prior to peer review in a journal. As a division of Research Square Company, we’re committed to making research communication faster, fairer, and more useful. We do this by developing innovative software and high quality services for the global research community. Our growing team is made up of researchers and industry professionals working together to solve the most critical problems facing scientific publishing. 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