… 2 Modeling connected vehicle networks In this section we develop a model for connected
vehicle networks where vehicles may exploit information from multiple vehicles ahead, see Fig…

… associated with the application of ML in vehicular networks. In … security issues associated
with the adoption of ML methods. … A taxonomy of adversarial examples, perturbation methods, …

Cooperative Adaptive Cruise Control (CACC) is an autonomous vehicle-following technology
that allows groups of vehicles on the highway to form in tightly-coupled platoons. This is …

… We consider a large group of connected vehicles, all of which have chosen to make an
informed routing decision during the same time-window within a local area. These routing …

… vehicles enable an edge controller to discover knowledge about the state of edge network …
received by the edge controller, it is perturbed in the IoT layer (vehicles) to ensure privacy [8]. …

Cooperative Adaptive Cruise Control (CACC) is an autonomous vehicle-following technology
that allows groups of vehicles on the highway to form in tightly-coupled platoons. This is …

… This paper first identifies some major security attacks on intelligent connected vehicles.
Then, we investigate and summarize the available defences against these attacks and classify …

… of inter-vehicle communications is … vehicles including driverless and intelligent vehicles,
this review paper identifies a few major security attacks on the intelligent connected vehicles. …

… In addition, privacy preserving framework for connected vehicles was introduced by
perturbation and compression in [13]. As cybersecurity attacks are dynamic, it is a challenge to …

… Future connected and autonomous vehicles (CAVs) must be secured against cyberattacks
for their everyday functions on the road so that safety of passengers and vehicles can be …