A Novel Dataset and Approach for Adversarial Attack Detection in Connected and Automated Vehicles
Tae Hoon Kim,
Moez Krichen,
Meznah A. Alamro
et al.
Abstract:Adversarial attacks have received much attention as communication network applications rise in popularity. Connected and Automated Vehicles (CAVs) must be protected against adversarial attacks to ensure passenger and vehicle safety on the road. Nevertheless, CAVs are susceptible to several types of attacks, such as those that target intra- and inter-vehicle networks. These harmful attacks not only cause user privacy and confidentiality to be lost, but they also have more grave repercussions, such as physical h… Show more
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