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3-D Stochastic Geometry-Based Modeling and Performance Analysis of Efficient Security Enhancement Scheme for IoT Systems
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Institute of Electrical and Electronics Engineers Inc.
, 2022 , Article)
Internet of Things (IoT) systems are becoming core building blocks for different services and applications supporting every day's life. The heterogeneous nature of IoT devices and the complex use scenarios make it hard to ...
Federated Learning Meets Human Emotions: A Decentralized Framework for Human-Computer Interaction for IoT Applications
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IEEE Internet of Things Journal
, 2021 , Article)
As stated by Spock, 'change is the essential process of all existence,' which is reflected in everyday applications in our daily lives. We, as humans, just need to find a way to make the best use of the current technological ...
Joint user association and resource allocation in HetNets based on user mobility prediction
(
Elsevier B.V.
, 2020 , Article)
Virtual small cell (VSC) formed by directional beams is seen as an alternative for the small base station (SBS) within the coverage of macro base station (MBS), to increase system capacity and reduce site cost. However, ...
A Privacy-Preserving Medical Data Sharing Scheme Based on Consortium Blockchain
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Institute of Electrical and Electronics Engineers Inc.
, 2020 , Conference Paper)
Electronic medical records (EMRs) can provide medical institutes with a number of research materials, which could promote the development of medical field. In order to protect patients' privacy while achieving efficient ...
Backscatter-Enabled Efficient V2X Communication with Non-Orthogonal Multiple Access
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Institute of Electrical and Electronics Engineers Inc.
, 2021 , Article)
Non-orthogonal multiple access (NOMA) and backscatter communications are considered to be promising technologies for beyond the fifth-generation (5G) due to their applications in large-scale Internet-of-things networks for ...
Toward Incentivizing Fog-Based Privacy-Preserving Mobile Crowdsensing in the Internet of Vehicles
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Institute of Electrical and Electronics Engineers Inc.
, 2020 , Article)
In the face of a massive number of vehicular users, a data collection paradigm based on vehicular crowdsensing requires an effective means of attracting participants. Thus, the incentive mechanisms play a key role in ...
Selection of effective machine learning algorithm and Bot-IoT attacks traffic identification for internet of things in smart city
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Elsevier B.V.
, 2020 , Article)
Identifying cyber attacks traffic is very important for the Internet of things (IoT) security in smart city. Recently, the research community in the field of IoT Security endeavor hard to build anomaly, intrusion and cyber ...
Patient-Driven Network Selection in multi-RAT Health Systems Using Deep Reinforcement Learning
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Institute of Electrical and Electronics Engineers Inc.
, 2021 , Conference Paper)
The recent pandemic along with the rapid increase in the number of patients that require continuous remote monitoring imposes several challenges to support the high quality of services (QoS) in remote health applications. ...
AI-based Intrusion Detection for Intelligence Internet of Vehicles
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Institute of Electrical and Electronics Engineers Inc.
, 2021 , Article)
With the development of intelligent technologies, Internet of Things (IoT) opens up a new era in the field of automotive networks, namely Internet of Vehicles (IoV). The main goal of IoV is to provide a secure and reliable ...
Adaptive de Algorithm for Novel Energy Control Framework Based on Edge Computing in IIoT Applications
(
IEEE Computer Society
, 2021 , Article)
With the development of the industrial Internet of Things and the advancements in wireless sensor networking technologies, the smart grid based on edge computing now is regarded as being essential for real-time monitoring ...