Results 231 to 240 of about 51,839 (288)
Sparsified federated learning with differential privacy for intrusion detection in VANETs based on Fisher Information Matrix. [PDF]
Chen R, Chen X, Zhao J.
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Cloud-based DDoS detection using hybrid feature selection with deep reinforcement learning (DRL). [PDF]
Satpathy S, Tripathy U, Swain PK.
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Limiting Performance of Radar-Based Positioning Solutions for the Automotive Scenario. [PDF]
Bandiera F, Ricci G.
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ASPIRE: Adaptive Service Provider Infrastructure for VANETs
Agop Koulakezian
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Dynamic Privacy-Preserving Anonymous Authentication Scheme for Condition-Matching in Fog-Cloud-Based VANETs. [PDF]
Zhan Y, Xie W, Shi R, Huang Y, Zheng X.
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A Hybrid (Active-Passive) VANET Clustering Technique
Garrett Lee Moore
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Design of Blockchain-Based Lightweight V2I Handover Authentication Protocol for VANET
IEEE Transactions on Network Science and Engineering, 2022Connected vehicle means providing different services, such as advanced driver-assistance systems (ADAS) from vehicles connected to the network. Vehicular ad-hoc networks (VANETs) can support vehicle-to-vehicle (V2V) and vehicle-to-infrastructure (V2I ...
Seunghwan Son +4 more
semanticscholar +1 more source
IEEE Transactions on Information Forensics and Security, 2022
As cities become smarter, the importance of vehicular ad hoc networks (VANETs) will be increasingly pronounced. To support latency- and time-sensitive applications, there have been attempts to utilize fog-cloud computing in VANETs.
Yafang Yang +4 more
semanticscholar +1 more source
As cities become smarter, the importance of vehicular ad hoc networks (VANETs) will be increasingly pronounced. To support latency- and time-sensitive applications, there have been attempts to utilize fog-cloud computing in VANETs.
Yafang Yang +4 more
semanticscholar +1 more source

