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Chapter and Conference Paper
Misbehavior Detection Based on Ensemble Learning in VANET
Detection of misbehaviors in Vehicular Ad Hoc Networks (VANETs) using machine learning methods has not been investigated extensively. In VANET, an illegitimate vehicle may transmit inaccurate messages to trigg...
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Chapter and Conference Paper
Machine Learning Approach for Multiple Misbehavior Detection in VANET
The motivation behind Vehicular Ad Hoc Networks (VANETs) is to improve traffic safety and driving efficiency. VANET applications operate on the principle of periodic exchange of messages between nodes. However...
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Chapter and Conference Paper
Performance Evaluation and Detection of Sybil Attacks in Vehicular Ad-Hoc Networks
Vehicular Ad-hoc Networks (VANET) technology provides a fast, easy to deploy and an inexpensive solution for intelligent traffic control and traffic disaster preventive measure. In VANET, moving vehicles commu...