Autonomous Vehicles (AV) possess an automated driving system that allows the vehicle to
respond to external conditions and provide advanced and intelligent transportation services …

In this paper we analyze the effect of cyberattacks on cooperative control of connected and
autonomous vehicles (CAVs) at traffic bottleneck points. We focus on three types of such …

Autonomous vehicles rely on LiDAR sensors to detect obstacles such as pedestrians, other
vehicles, and fixed infrastructures. LiDAR spoofing attacks have been demonstrated that …

Driverless taxis are now closer to their worldwide launch, however, unsupervised physical
access to the riders can pose unexpected safety and security risks to the connected and …

Keyless entry systems in cars give users the flexibility of unlocking the car door without using
physical keys. Remote Keyless Entry (RKE) system is one of the common types of keyless …

While research in the field of automotive systems inclined in the past years towards
technologies such as Vehicle-to-Everything (V2X) or Connected and Automated Vehicle …

Connected and autonomous vehicles (CAVs) can fulfill the emerging demand for smart
transportation on a global scale. Such innovations for transportation can bring manyfold …

Low-latency requirements of vehicular networks can be met by installing mobile edge hosts
that implement mobile edge computing in the roadside units (RSUs). Adversaries can …

Intelligent Transportation Systems (ITSs) comprise a whole infrastructure of conventional
vehicles, Connected Autonomous Vehicles (CAVs), roadside units, and communication …

Autonomous driving vehicles (ADVs) are the next significant evolution in transportation
systems. Using machine learning techniques supported by strong processing units and …