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An in depth investigation on device-to-device communication in heterogeneous networks: opportunities and challenges. [PDF]
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A machine learning based scheme for enhancing the detection of position falsification attacks in vehicular ad hoc networks. [PDF]
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A hybrid deep learning model for detection and mitigation of DDoS attacks in VANETs. [PDF]
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Improving Vehicular Network Authentication with Teegraph: A Hashgraph-Based Efficiency Approach. [PDF]
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Intelligent Agent for Resource Allocation from Mobile Infrastructure to Vehicles in Dynamic Environments Scalable on Demand. [PDF]
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An efficient signature aggregation scheme with antenna hardware implementation for VANETs. [PDF]
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Efficient traffic management with adaptive SDN in vehicular networks. [PDF]
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Detection of false position attacks in VANETs through bagging ensemble learning. [PDF]
PLoS OneMekonen BK, Bane L, Fite NB.
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FeXAI: Federated and Explainable AI for cyber threat detection in IoT-enabled smart transportation systems. [PDF]
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