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.
An edge-computing- based integrated framework for network traffic analysis and intrusion detection to enhance cyber-physical system security in industrial IoT
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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.