Studies in big data, Journal Year: 2025, Volume and Issue: unknown, P. 23 - 51
Published: Jan. 1, 2025
Language: Английский
Journal of Network and Computer Applications, Journal Year: 2024, Volume and Issue: 225, P. 103858 - 103858
Published: March 1, 2024
Language: Английский
Citations
54
Blockchains, Journal Year: 2025, Volume and Issue: 3(1), P. 1 - 1
Published: Jan. 1, 2025
Federated learning (FL) has emerged as an efficient machine (ML) method with crucial privacy protection features. It is adapted for training models in Internet of Things (IoT)-related domains, including smart healthcare systems (SHSs), where the introduction IoT devices and technologies can arise various security concerns. However, FL cannot solely address all challenges, privacy-enhancing (PETs) blockchain are often integrated to enhance frameworks within SHSs. The critical questions remain regarding how these they contribute enhancing This survey addresses by investigating recent advancements on combination PETs healthcare. First, this emphasizes integration into context. Second, challenge integrating FL, it examines three main technical dimensions such blockchain-enabled model storage, aggregation, gradient upload frameworks. further explores collectively ensure integrity confidentiality data, highlighting their significance building a trustworthy SHS that safeguards sensitive patient information.
Language: Английский
Citations
3
Discover Internet of Things, Journal Year: 2025, Volume and Issue: 5(1)
Published: Jan. 13, 2025
Language: Английский
Citations
3
Scientific Reports, Journal Year: 2025, Volume and Issue: 15(1)
Published: Jan. 21, 2025
In the current era, IoT-based healthcare solutions play a pivotal role in transforming landscape by addressing key challenges and significantly enhancing quality, accessibility, efficiency of medical services, particularly for individuals remote areas. This paper introduces innovative operations on fractional fuzzy sets (FFS), specifically Hamacher sum product, establishes corresponding operational laws. Building upon these foundations, we propose novel aggregation operators (AoPs) leveraging norms rigorously analyze their properties within FFS framework. Furthermore, integrate advancements into decision-making methodologies, including Extended TOPSIS, TODIM, GRA, tailored applications FFS. To illustrate practicality effectiveness our approach, present detailed case study system selection. Finally, comparative analysis proposed methods with existing highlights robustness suitability solution real-world scenarios.
Language: Английский
Citations
2
SSRN Electronic Journal, Journal Year: 2023, Volume and Issue: unknown
Published: Jan. 1, 2023
The convergence of Blockchain technology and Artificial Intelligence (AI) is exerting a transformative influence, ushering in new epoch security transparency within the financial sector. This amalgamation effectively addresses pivotal challenges faced by conventional systems, presenting inventive solutions to heighten efficiency, diminish fraud, amplify transparency. Blockchain, functioning as decentralized tamper-resistant ledger, introduces paradigm shift transactions. Its capacity establish an unalterable record transactions ensures that once data recorded, it remains impervious modification, thereby furnishing unparalleled level security. inherent attribute positions optimal choice for reinforcing systems against cyber threats fraudulent activities. On other hand, AI contributes predictive analytics, machine learning, automation forefront operations. integration finance enables real-time analysis, risk assessment, decision-making, optimizing processes elevating overall efficiency. When amalgamated with augments precision dependability data, cultivating more secure transparent ecosystem. A aspect this streamlining Know Your Customer (KYC) Anti-Money Laundering (AML) processes. nature facilitates storage customer mitigating identity theft, while algorithms adeptly analyze extensive datasets pinpoint flag suspicious not only but also adherence regulatory requirements. Smart contracts, distinctive feature automate enforce contractual agreements, diminishing reliance on intermediaries minimizing probability human error. can be seamlessly integrated into these contracts enhance their adaptability responsiveness evolving market conditions, further refining ushered all stakeholders have access singular version truth, fostering trust Furthermore, incorporation fraud detection management heightens proactive identification potential threats, safeguarding institutions clientele. As increasingly embrace integration, industry stands brink revolution safeguards existing paves way innovative efficient ecosystems.
Language: Английский
Citations
29
Blockchain Research and Applications, Journal Year: 2023, Volume and Issue: 5(2), P. 100178 - 100178
Published: Dec. 20, 2023
Protecting private data in smart homes, a popular Internet-of-Things (IoT) application, remains significant security and privacy challenge due to the large-scale development distributed nature of IoT networks. Recently, healthcare has leveraged home systems, thereby compounding concerns terms confidentiality sensitive by extension owner. However, PoA-based Blockchain DLT emerged as promising solution for protecting from indiscriminate use preserving individuals residing IoT-enabled homes. This review elicits some concerns, issues, problems that have hindered adoption blockchain (BCoT) domains suggests requisite solutions using aging-in-place scenario. Implementation issues with BCoT were examined well combined challenges can pose when utilised gains. The study discusses recent findings, opportunities, barriers, provide recommendations could facilitate continuous growth application healthcare. Lastly, then explored potential permission an applicable consent-based model decision-making information disclosure process, including publisher-subscriber contracts fine-grained access control ensure secure processing sharing, ethical trust personal disclosure, direction. proposed authorisation framework guarantee ownership, conditional management, scalable tamper-proof storage, more resilient system against threat models such interception insider attacks.
Language: Английский
Citations
26
Engineering Applications of Artificial Intelligence, Journal Year: 2024, Volume and Issue: 131, P. 107831 - 107831
Published: Jan. 5, 2024
Language: Английский
Citations
11
Systems, Journal Year: 2025, Volume and Issue: 13(1), P. 65 - 65
Published: Jan. 20, 2025
Efficient cattle healthcare management is vital for ensuring productivity and welfare in dairy production, yet traditional record-keeping methods often lack transparency, security, efficiency, leading to challenges livestock product quality healthcare. This study introduces a novel framework leveraging Zero Knowledge (ZK)-Rollups-enhanced Layer 2 blockchain Non-Fungible Tokens (NFTs) address these issues. NFTs serve as secure digital certificates individual health records, transparency traceability. ZK-Rollups on the enhance scalability, privacy, cost-efficiency, while smart contracts automate key processes such veterinary scheduling, medication delivery, insurance claims, minimizing administrative overhead. Performance evaluations reveal significant advancements, with transaction delays of 4.1 ms, throughput 249.8 TPS, gas costs reduced 26,499.76 Gwei, time-to-finality 1.1 achieved through ZK-SNARKs (ZK-Succinct Non-Interactive Arguments Knowledge) integration. These results demonstrate system’s potential revolutionize by combining operational efficiency.
Language: Английский
Citations
1
Technological Forecasting and Social Change, Journal Year: 2025, Volume and Issue: 213, P. 124031 - 124031
Published: Feb. 12, 2025
Language: Английский
Citations
1
Published: Feb. 14, 2025
Language: Английский
Citations
1