A trust-aware federated hybrid intrusion detection framework using random forest, decision tree, and linear SVM is proposed for intelligent transport systems with edge computing.
Secure Fog-Edge and 5G-Enabled Architecture for AI-Driven Mobility, Real-Time Traffic Analytics, and Accessibility in Aging-Focused Intelligent Transportation Systems
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A Comparative Analysis of Machine Learning Models for Intrusion Detection in Intelligent Transport Systems
A trust-aware federated hybrid intrusion detection framework using random forest, decision tree, and linear SVM is proposed for intelligent transport systems with edge computing.