Simulating Malicious Attacks on VANETs for Connected and Autonomous Vehicle Cybersecurity: A Machine Learning Dataset

Connected and Autonomous Vehicles (CAVs) rely on Vehicular Adhoc Networks with wireless communication between vehicles and roadside infrastructure to support safe operation. However, cybersecurity attacks pose a threat to VANETs and the safe operation of CAVs. This study proposes the use of simulati...

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Bibliographic Details
Published in2022 13th International Symposium on Communication Systems, Networks and Digital Signal Processing (CSNDSP) pp. 332 - 337
Main Authors Iqbal, Safras, Ball, Peter, Kamarudin, Muhammad H, Bradley, Andrew
Format Conference Proceeding
LanguageEnglish
Published IEEE 20.07.2022
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