Deep neural network-based secure healthcare framework

Neural Computing and Applications, Journal Year: 2024, Volume and Issue: 36(28), P. 17467 - 17482

Published: June 20, 2024

Language: Английский

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Parameters security strategy formulated by hyperchaos in federal learning

Applied Intelligence, Journal Year: 2025, Volume and Issue: 55(4)

Published: Jan. 2, 2025

Language: Английский

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Comprehensive Analysis of Blockchain Technology in the Healthcare Sector and Its Security Implications

International Journal of E-Health and Medical Communications, Journal Year: 2025, Volume and Issue: 15(1), P. 1 - 45

Published: April 4, 2025

Blockchain technology presents a promising solution for healthcare, addressing key challenges like data breaches, patient control, and interoperability. This paper analyzes blockchain applications in three areas: electronic health records, pharmaceutical supply chain traceability, clinical trials. The authors explore security concerns, regulatory compliance, smart contract vulnerabilities, proposing solutions advanced cryptography improved consensus mechanisms. Real-world examples, such as Medicalchain Chronicled's MediLedger, demonstrate enhanced transparency security. However, adoption faces barriers scalability, computational costs, complexities. study also highlights ethical issues around ownership suggests future research into improving interoperability integrating technologies artificial intelligence internet of medical things better healthcare outcomes.

Language: Английский

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Enhancing EHR Interoperability and Security through Distributed Ledger Technology: A Review

Healthcare, Journal Year: 2024, Volume and Issue: 12(19), P. 1967 - 1967

Published: Oct. 2, 2024

The management and exchange of electronic health records (EHRs) remain critical challenges in healthcare, with fragmented systems, varied standards, security concerns hindering seamless interoperability. These compromise patient care operational efficiency. This paper proposes a novel solution to address these issues by leveraging distributed ledger technology (DLT), including blockchain, enhance data security, integrity, transparency healthcare systems. decentralized immutable nature DLT enables more efficient secure information across platforms, improving decision-making coordination care. outlines strategic implementation approach, detailing timelines, resource requirements, stakeholder involvement while addressing crucial privacy like encryption access control. In addition, it explores standards protocols necessary for achieving interoperability, offering case studies that demonstrate the framework’s effectiveness. work contributes introducing DLT-based persistent issue EHR providing pathway exchanges. It also identifies essential integrating existing thereby facilitating smoother transition toward enhanced

Language: Английский

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Securing EHRs With a Novel Token-Based and PPoS Blockchain Methodology

IEEE Access, Journal Year: 2024, Volume and Issue: 12, P. 83183 - 83204

Published: Jan. 1, 2024

Language: Английский

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Securing the Future: Harnessing Blockchain's Power Against New-Age Vulnerabilities

Published: May 16, 2024

In the current era of rapid technological advancement, while numerous problems have been addressed, issue data security has emerged as a significant challenge. This concern is prevalent across various sectors, including finance, healthcare, and daily activities, where protecting sensitive paramount. Against this backdrop, blockchain technology, characterized by its decentralized nature, presents compelling solution to these difficulties. paper aims shed light on efficacy robust tool, emphasizing potential safeguard in an increasingly vulnerable digital landscape. paper, we explore strengths prospective advancements that promise fortify protection shortly.

Language: Английский

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Enhancing Cybersecurity in the Philippines Healthcare Sector: A Zero Trust Survey

Published: Sept. 13, 2024

Language: Английский

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The effect of doctor-patient relationship on doctor’s altruistic purpose from pediatrician data in China

Current Psychology, Journal Year: 2024, Volume and Issue: 43(31), P. 25911 - 25922

Published: July 4, 2024

Language: Английский

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Decentralized and Secure Collaborative Framework for Personalized Diabetes Prediction

Biomedicines, Journal Year: 2024, Volume and Issue: 12(8), P. 1916 - 1916

Published: Aug. 21, 2024

Diabetes is a global epidemic with severe consequences for individuals and healthcare systems. While early personalized prediction can significantly improve outcomes, traditional centralized models suffer from privacy risks limited data diversity. This paper introduces novel framework that integrates blockchain federated learning to address these challenges. Blockchain provides secure, decentralized foundation management, access control, auditability. Federated enables model training on distributed datasets without compromising patient privacy. collaborative approach facilitates the development of more robust diabetes models, leveraging combined resources multiple institutions. We have performed extensive evaluation experiments security analyses. The results demonstrate good performance while enhancing compared approaches. Our offers promising solution ethical effective use in prediction.

Language: Английский

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Group acceptance sampling plan for exponential logarithmic distribution: an application to medical and engineering data

Cogent Engineering, Journal Year: 2024, Volume and Issue: 11(1)

Published: Nov. 21, 2024

Language: Английский

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