Real-Time Detection and Mitigation of Routing Attacks in VANETs Using a Novel Deep Learning Framework

This publication has 15 references indexed in Scilit:

• AI-Driven Ensemble Classifier for Jamming Attack Detection in VANETs to Enhance Security in Smart Cities
  IEEE Access, 2025
• Lightweight Hybrid Approach for DoS Attack Detection in VANET
  2024
• A Comprehensive Review of Recent Developments in VANET for Traffic, Safety & Remote Monitoring Applications
  Journal of Network and Systems Management, 2024
• RETRACTED: Advanced machine learning approach for DoS attack resilience in internet of vehicles security
  Heliyon, 2024
• Securing the road ahead: Machine learning-driven DDoS attack detection in VANET cloud environments
  Cyber Security and Applications, 2024
• Prediction and Analysis of Machine Learning Models for Efficient Routing Protocol in VANET using Feature Information
  Research Square, 2023
• Collaborative Detection of Black Hole and Gray Hole Attacks for Secure Data Communication in VANETs
  Applied Sciences, 2022
• Intelligent Intrusion Detection System for VANET Using Machine Learning and Deep Learning Approaches
  Wireless Communications and Mobile Computing, 2022
• An UAV-assisted VANET architecture for intelligent transportation system in smart cities
  International Journal of Distributed Sensor Networks, 2021
• Deep Transfer Learning Based Intrusion Detection System for Electric Vehicular Networks
  Sensors, 2021