Detecting DDoS Attacks in IoV Using Machine Learning
Автор: Basid Ali
Загружено: 2025-06-18
Просмотров: 40
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🚗💻 Internet of Vehicles (IoV) meets Machine Learning!
In this presentation, I explain how DDoS attacks can be effectively detected in IoV systems using Machine Learning models and enhanced feature selection techniques like Chi2.
This research uses the CICDDoS2019 dataset to evaluate models like Random Forest, Decision Tree, KNN, and others—achieving 99.9%+ accuracy in detecting UDP-Lag and SYN Flood attacks.
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