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Reinforcement learning approaches for efficient and secure blockchain-powered smart health systems
(
Elsevier B.V.
, 2021 , Article)
Emerging technological innovation toward e-Health transition is a worldwide priority for ensuring people's quality of life. Hence, secure exchange and analysis of medical data amongst diverse organizations would increase ...
LightTrust: Lightweight Trust Management for Edge Devices in Industrial Internet of Things
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Institute of Electrical and Electronics Engineers Inc.
, 2021 , Article)
The phenomenal increase in the usage of Internet promotes the quality of trust in the scope of Internet of Things (IoT). Trust is beneficial in the provision of an effective, reliable, scalable, and trustworthy environment ...
Intersection Fog-Based Distributed Routing for V2V Communication in Urban Vehicular Ad Hoc Networks
(
Institute of Electrical and Electronics Engineers Inc.
, 2020 , Article)
Due to the characteristics of urban vehicular ad hoc networks (VANETs), many difficulties exist when designing routing protocols. In this paper, we focus on designing an efficient routing strategy for vehicle-to-vehicle ...
A Demand-Driven Incremental Deployment Strategy for Edge Computing in IoT Network
(
IEEE Computer Society
, 2022 , Article)
Edge Computing brings great opportunities to enable the Internet of Things (IoT) vision. But the physical edge server deployment problem still poses a major challenge, which dramatically affects the service ability and ...
A Blockchain-Enabled Privacy-Preserving Verifiable Query Framework for Securing Cloud-Assisted Industrial Internet of Things Systems
(
IEEE Computer Society
, 2022 , Article)
Advanced Industrial Internet-of-Things (IIoT), such as smart grids, 5G-enabled unmanned aerial vehicles (UAV), and supply chain 4.o, can be used to facilitate smart management. Nevertheless, IIoT systems generate huge ...
MEdge-Chain: Leveraging Edge Computing and Blockchain for Efficient Medical Data Exchange
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Institute of Electrical and Electronics Engineers Inc.
, 2021 , Article)
Medical data exchange between diverse e-health entities can lead to a better healthcare quality, improving the response time in emergency conditions, and a more accurate control of critical medical events (e.g., national ...
Optimal User-Edge Assignment in Hierarchical Federated Learning Based on Statistical Properties and Network Topology Constraints
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IEEE Computer Society
, 2022 , Article)
Distributed learning algorithms aim to leverage distributed and diverse data stored at users' devices to learn a global phenomena by performing training amongst participating devices and periodically aggregating their local ...
Secure Lending: Blockchain and Prospect Theory-Based Decentralized Credit Scoring Model
(
IEEE Computer Society
, 2020 , Article)
Credit scoring is a rigorous statistical analysis carried out by lenders and other third parties to access an individual's creditworthiness. Lenders use credit scoring to estimate the degree of risk in lending money to an ...
To chain or not to chain: A reinforcement learning approach for blockchain-enabled IoT monitoring applications
(
Elsevier B.V.
, 2020 , Article)
Traceability and autonomous business logic execution are highly desirable features in IoT monitoring applications. Traceability enables verifying signals history for security or analytical purposes. On the other hand, the ...
Federated Learning and Autonomous UAVs for Hazardous Zone Detection and AQI Prediction in IoT Environment
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Institute of Electrical and Electronics Engineers Inc.
, 2021 , Article)
Air pollution monitoring, finding the hazardous zone, and future air quality predictions have recently become a significant issue for many researchers. With the adverse effect of low air quality on human health, it has ...