Machine Learning for Security in Vehicular Networks: A Comprehensive Survey

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A Survey on Blockchain Intelligence-Based Trust Management for Internet of Vehicles

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Intrusion Detection Method Based on Network Performance Degradation

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An Overview of Problems and Difficulties with ML in WSNs Protection

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An Efficient and Energy Data Transmission Using Intelligent-Based Techniques in Wireless Sensor Networks

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Optimized IoT Security with Attention-Based Hybrid Deep Learning Approach

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Adaptive Resource Alternation Optimization for Robust Federated Learning in Vehicular Networks

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V2X Message Classification: A Supervised Machine Learning Simulation Study

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Attack Chains Construction for Vehicular Networks Based on a Two‐Dimensional Vulnerability Combination Strategy

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Attack Path Optimization in Connected Vehicular Networks: A PPO-based Learning Approach

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Efficient Federated Submodel Learning Technique for VANET Applications

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Securing Vehicular Ad Hoc Networks via Digital Twin-Driven Anomaly Detection and Graph Reinforcement Learning

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Dataset for DDoS Detection in 5G-Enabled Connected and Autonomous Vehicle Systems

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A Machine Learning Approach to Real Time Vehicle Safety System

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Defensive Intelligent Traffic Management using Secure AI Intersection Control, Resilient Sensor Fusion, and Crisis-Aware Autonomous Routing

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Machine Learning Models for Detecting Cyber Attacks in Vehicular Communication Networks

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