ArticleSensors (Basel, Switzerland)2022
A Novel Hybrid Trustworthy Decentralized Authentication and Data Preservation Model for Digital Healthcare IoT Based CPS.
Article in Sensors (Basel, Switzerland), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 27 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
27 citing papers in PubMed.
- A Kyber-Based Lightweight Cloud-Assisted Authentication Scheme for Medical IoT.Sensors (Basel, Switzerland) · 2026Article
- Mental health monitoring in 5G Edge-Enabled Cognitive IoT with Temporal Shift Transformer and integrated Stackelberg Game Theory and Nomadic People Optimizer.Scientific reports · 2025Article
- Exploring Factors Affecting the Adoption of IoT in Healthcare: A Systematic Literature Review.Healthcare (Basel, Switzerland) · 2025Review
- EnCTN: an enhanced AI-enabled deep learning framework for security enhancement in blockchain transactions.Scientific reports · 2025Article
- Dual attention-based deep learning with blockchain for multimedia data processing and secure access control in IoHT.Scientific reports · 2025Article
- Quantum resilient security framework for privacy preserving AI in Apple MM1 on device architecture.Scientific reports · 2025Article
- Secure and fault tolerant cloud based framework for medical image storage and retrieval in a distributed environment.Scientific reports · 2025Article
- An explainable federated blockchain framework with privacy-preserving AI optimization for securing healthcare data.Scientific reports · 2025Article
- Article
- The digital transformation of nursing practice: an analysis of advanced IoT technologies and smart nursing systems.Frontiers in medicine · 2024Review
- A systematic review of privacy-preserving methods deployed with blockchain and federated learning for the telemedicine.Healthcare analytics (New York, N.Y.) · 2023Review
- Article
- Deep learning personalized recommendation-based construction method of hybrid blockchain model.Scientific reports · 2023Article
- RETRACTED: Blockchain-Powered Healthcare Systems: Enhancing Scalability and Security with Hybrid Deep Learning.Sensors (Basel, Switzerland) · 2023Article
- Empowering Precision Medicine: Unlocking Revolutionary Insights through Blockchain-Enabled Federated Learning and Electronic Medical Records.Sensors (Basel, Switzerland) · 2023Article
- Securing Secrets in Cyber-Physical Systems: A Cutting-Edge Privacy Approach with Consortium Blockchain.Sensors (Basel, Switzerland) · 2023Article
- Monitoring System for Operating Variables in Incubators in the Neonatology Service of a Highly Complex Hospital through the Internet of Things (IoT).Sensors (Basel, Switzerland) · 2023Article
- Deep Learning-Based IoT System for Remote Monitoring and Early Detection of Health Issues in Real-Time.Sensors (Basel, Switzerland) · 2023Article
- Sine-Cosine-Adopted African Vultures Optimization with Ensemble Autoencoder-Based Intrusion Detection for Cybersecurity in CPS Environment.Sensors (Basel, Switzerland) · 2023Article
- BFT-IoMT: A Blockchain-Based Trust Mechanism to Mitigate Sybil Attack Using Fuzzy Logic in the Internet of Medical Things.Sensors (Basel, Switzerland) · 2023Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Digital healthcare is a composite infrastructure of networking entities that includes the Internet of Medical Things (IoMT)-based Cyber-Physical Systems (CPS), base stations, services provider, and other concerned components. In the recent decade, it has been noted that the demand for this emerging technology is gradually increased with cost-effective results. Although this technology offers extraordinary results, but at the same time, it also offers multifarious security perils that need to be handled effectively to preserve the trust among all engaged stakeholders. For this, the literature proposes several authentications and data preservation schemes, but somehow they fail to tackle this issue with effectual results. Keeping in view, these constraints, in this paper, we proposed a lightweight authentication and data preservation scheme for IoT based-CPS utilizing deep learning (DL) to facilitate decentralized authentication among legal devices. With decentralized authentication, we have depreciated the validation latency among pairing devices followed by improved communication statistics. Moreover, the experimental results were compared with the benchmark models to acknowledge the significance of our model. During the evaluation phase, the proposed model reveals incredible advancement in terms of comparative parameters in comparison with benchmark models.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.