Information collection algorithm for vehicular ad-hoc networks (application domain: Urban Traffic Wireless Vehicular Ad-Hoc Networks (VANETs)) [PDF]
, 2013 Emadeddin A. Gamati
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Multi-Layered Unsupervised Learning Driven by Signal-to-Noise Ratio-Based Relaying for Vehicular Ad Hoc Network-Supported Intelligent Transport System in eHealth Monitoring. [PDF]
Sensors (Basel)Nauman A, Iqbal A, Khurshaid T, Kim SW.
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Quantum resistant blockchain and deep learning revolutionize secure communications for autonomous vehicles. [PDF]
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Multi-objective federated learning traffic prediction in vehicular network for intelligent transportation system. [PDF]
PeerJ Comput SciAalavanthar A +5 more
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Design of an AI-driven secure 5G-SDN framework with federated reinforcement learning for anomaly detection, mitigation, and attack forensics. [PDF]
Front Artif IntellShameli R, Rajkumar S.
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Sybil Attack-Resistant Blockchain-Based Proof-of-Location Mechanism with Privacy Protection in VANET. [PDF]
Sensors (Basel)Khatri N, Lee S, Nam SY.
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A secure and efficient blockchain enabled federated Q-learning model for vehicular Ad-hoc networks. [PDF]
Sci RepAhmed HA +4 more
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Design and optimization of access control protocols in Vehicular Ad Hoc Networks (VANETs)
, 2016 Mohamed Hadded
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Adaptive personalized federated learning with lightweight depthwise convolutional bottleneck network for novel intrusion detection system in internet of vehicles. [PDF]
Sci RepAlmansour S +5 more
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