In-vehicle communication cyber security: challenges and solutions
In-vehicle communication has become an integral part of today's driving environment
considering the growing add-ons of sensor-centric communication and computing devices …
considering the growing add-ons of sensor-centric communication and computing devices …
A survey on machine learning-based misbehavior detection systems for 5g and beyond vehicular networks
A Boualouache, T Engel - IEEE Communications Surveys & …, 2023 - ieeexplore.ieee.org
Advances in Vehicle-to-Everything (V2X) technology and onboard sensors have significantly
accelerated deploying Connected and Automated Vehicles (CAVs). Integrating V2X with 5G …
accelerated deploying Connected and Automated Vehicles (CAVs). Integrating V2X with 5G …
Collaboration as a service: Digital-twin-enabled collaborative and distributed autonomous driving
Collaborative driving can significantly reduce the computation offloading from autonomous
vehicles (AVs) to edge computing devices (ECDs) and the computation cost of each AV …
vehicles (AVs) to edge computing devices (ECDs) and the computation cost of each AV …
Learning for vehicle-to-vehicle cooperative perception under lossy communication
Deep learning has been widely used in intelligent vehicle driving perception systems, such
as 3D object detection. One promising technique is Cooperative Perception, which …
as 3D object detection. One promising technique is Cooperative Perception, which …
Post-accident cyberattack event analysis for connected and automated vehicles
Smart mobility is an imperative facet of smart cities, and the transition of conventional
automotive systems to connected and automated vehicles (CAVs) is envisioned as one of …
automotive systems to connected and automated vehicles (CAVs) is envisioned as one of …
A systematic survey of control techniques and applications in connected and automated vehicles
W Liu, M Hua, Z Deng, Z Meng, Y Huang… - IEEE Internet of …, 2023 - ieeexplore.ieee.org
Vehicle control is one of the most critical challenges in autonomous vehicles (AVs) and
connected and automated vehicles (CAVs), and it is paramount in vehicle safety, passenger …
connected and automated vehicles (CAVs), and it is paramount in vehicle safety, passenger …
A novel deep policy gradient action quantization for trusted collaborative computation in intelligent vehicle networks
The openness of the intelligent vehicle network makes it easy for selfish or untrustworthy
vehicles to maliciously occupy limited resources in the mobile edge network or spread …
vehicles to maliciously occupy limited resources in the mobile edge network or spread …
Adaptive ensemble methods for tampering detection in automotive aftertreatment systems
R Bolboacă - IEEE Access, 2022 - ieeexplore.ieee.org
Control and diagnostic processes in modern vehicles incorporate nowadays a wide set of
functionalities to preserve the vehicle's health. Automotive vehicles contain embedded …
functionalities to preserve the vehicle's health. Automotive vehicles contain embedded …
Autonomous vehicles security: Challenges and solutions using blockchain and artificial intelligence
The arrival of autonomous vehicles (AVs) promises many great benefits, including increased
safety and reduced energy consumption, pollution, and congestion. However, these engines …
safety and reduced energy consumption, pollution, and congestion. However, these engines …
Secure over-the-air software update for connected vehicles
Current trends forecast that Over-the-Air (OTA) software updates will be highly significant for
future connected vehicles. The OTA software updates will enable upgrading vehicle …
future connected vehicles. The OTA software updates will enable upgrading vehicle …