Advanced sensors for smart healthcare: an introduction

Elsevier eBooks, Journal Year: 2025, Volume and Issue: unknown, P. 1 - 27

Published: Jan. 1, 2025

Language: Английский

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A comprehensive secure system enabling healthcare 5.0 using federated learning, intrusion detection and blockchain

PeerJ Computer Science, Journal Year: 2024, Volume and Issue: 10, P. e1778 - e1778

Published: Jan. 10, 2024

Recently, the use of Internet Medical Things (IoMT) has gained popularity across various sections health sector. The historical security risks IoMT devices themselves and data flowing from them are major concerns. Deploying many devices, sensors, services, networks that connect systems is gaining popularity. This study focuses on identifying blockchain in innovative healthcare units empowered by federated learning. A collective with intrusion detection management (IDM) beneficial to detect prevent malicious activity storage nodes. Data accumulated at a centralized node analyzed help machine learning algorithms diagnose disease allow appropriate medication be prescribed medical professional. model proposed this effective such models for monitoring. amalgamation makes it possible reach 93.89 percent accuracy analysis addiction. Further, ensures success rate 97.13 study.

Language: Английский

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An IoMT data security framework with Hyperledger Fabric for smart cities

International Journal of Information Technology, Journal Year: 2024, Volume and Issue: 16(8), P. 4875 - 4886

Published: Aug. 29, 2024

Language: Английский

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Supporting Self-Management Redactable Blockchain With Double-Auditability and Revocability for IoT

IEEE Transactions on Network Science and Engineering, Journal Year: 2025, Volume and Issue: 12(2), P. 1383 - 1395

Published: Jan. 16, 2025

Language: Английский

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Advancing electronic medical data protection through blockchain innovation

Elsevier eBooks, Journal Year: 2025, Volume and Issue: unknown, P. 193 - 205

Published: Jan. 1, 2025

Language: Английский

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Internet of Things’ sustainability effects: quantile and temporal insights

Humanities and Social Sciences Communications, Journal Year: 2025, Volume and Issue: 12(1)

Published: March 19, 2025

Language: Английский

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Blockchain Models Applications: A Comparative Study on Security

Procedia Computer Science, Journal Year: 2025, Volume and Issue: 258, P. 1003 - 1011

Published: Jan. 1, 2025

Language: Английский

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Blockchain-Enabled Cybersecurity Framework for Safeguarding Patient Data in Medical Informatics

International Journal of Advanced Computer Science and Applications, Journal Year: 2024, Volume and Issue: 15(3)

Published: Jan. 1, 2024

Securing patient information is crucial in the quickly changing field of healthcare informatics to guarantee privacy, reliability, and adherence legal requirements. This article presents a complete cybersecurity architecture enabled by blockchain customized for medical area. The framework initiatives provide adequate safeguards sensitive data utilizing AES-Diffie-Hellman key exchange secure communication, technology with Proof-of-Work (PoW), Role-Based Access Control (RBAC) fine access management. A strong maintaining security, credibility, availability private current management environment. By using decentralized storage, control methods, cutting-edge encryption strategies, suggested overcomes these difficulties. ensures safe transport storage showcasing effective AES as well decryption procedures through performance evaluation. PoW consensus combined provides auditable immutable reducing possibility manipulation unwanted access. Additionally, granular made possible integration RBAC, guaranteeing that only those proper authorization may data. Python used implement framework. method considerably outperformed NTRU, RSA, DES times 12.1 12.2 seconds, respectively. proposed Blockchain-Enabled Cybersecurity Framework demonstrates exceptional efficacy, evidenced its ability achieve 97.9% reduction unauthorized incidents, thus offering robust protection informatics.

Language: Английский

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Cybersecurity in Internet of Medical Vehicles: State-of-the-Art Analysis, Research Challenges and Future Perspectives

Sensors, Journal Year: 2023, Volume and Issue: 23(19), P. 8107 - 8107

Published: Sept. 27, 2023

The “Internet-of-Medical-Vehicles (IOMV)” is one of the special applications Internet Things resulting from combining connected healthcare and vehicles. As IOMV communicates with a variety networks along its travel path, it incurs various security risks due to sophisticated cyber-attacks. This can endanger onboard patient’s life. So, critical understand subjects related “cybersecurity” in develop robust cybersecurity measures. In this paper, goal evaluate recent trends state-of-the-art publications, gaps, future outlooks research area. With aim, publications between 2016 2023 “Web-of-Science” “Scopus” databases were analysed. Our analysis revealed that niche unexplored area few defined standards frameworks, there great need implement paper will help researchers gain comprehensive idea topic, as presents an top journals highly cited papers, their challenges limitations, system model architecture IOMV, applicable standards, potential cyber-attacks, factors causing risks, artificial intelligence techniques for developing countermeasures, assessment parameterisation constraints challenges, implementing measures IOMV.

Language: Английский

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A dynamic Bayesian network model for resilience assessment in blockchain-based internet of medical things with time variation

Healthcare Analytics, Journal Year: 2023, Volume and Issue: 4, P. 100280 - 100280

Published: Nov. 14, 2023

Blockchain technology and the Internet of Medical Things (IoMT) have garnered increased attention recently due to their growing application in effectively managing data security, storage, transmission concerns within healthcare organizations. However, integrating various advancements, such as coordination, adaptivity, automated responses, framework blockchain-based IoMT has amplified its susceptibility a range attacks vulnerabilities. Assessing enhancing resilience is utmost importance, particularly anticipation potential disruptions, ensure continuous sustainable functionality. The stochastic nature risks adds complexity evaluating IoMT, given that this domain may fluctuate over time. This study employs dynamic Bayesian network (DBN) method address evolving characteristics pertinent variables, capturing temporal dependencies demonstrating how capabilities evolve across different time intervals. Additionally, an information theory approach adopted mitigate uncertainty regarding performance crucial subcomponents. research showcases effectiveness adaptability DBN methodology systems, offering insights for shaping appropriate essential strategies decision-makers establish highly resilient IoMT.

Language: Английский

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