Machine learning for security in vehicular networks: A comprehensive survey

A Talpur, M Gurusamy - IEEE Communications Surveys & …, 2021 - ieeexplore.ieee.org
Machine Learning (ML) has emerged as an attractive and viable technique to provide
effective solutions for a wide range of application domains. An important application domain …

Spoofing attacks against vehicular FMCW radar

R Komissarov, A Wool - Proceedings of the 5th Workshop on Attacks and …, 2021 - dl.acm.org
The safety and security of the passengers in vehicles in the face of cyber attacks is a key
concern in the automotive industry, especially with the emergence of the Advanced Driver …

Learning based longitudinal vehicle platooning threat detection, identification and mitigation

E Khanapuri, T Chintalapati, R Sharma… - IEEE Transactions on …, 2021 - ieeexplore.ieee.org
The security of cyber-physical systems, such as vehicle platoons, is critical to ensuring their
proper operation and acceptance to society. In platooning, vehicles follow one another …

Ubiquitous computing: driving in the intelligent environment

E Bran, E Bautu, DF Sburlan, CM Puchianu… - Mathematics, 2021 - mdpi.com
In the context of hyper-connected cars and a growing heterogeneous digital ecosystem, we
wish to make the most of the data available from the various sensors, devices and services …

Replace: Real-time security assurance in vehicular platoons against V2V attacks

S Boddupalli, A Hegde, S Ray - 2021 IEEE international …, 2021 - ieeexplore.ieee.org
Connected Autonomous Vehicular (CAV) platoon refers to a group of vehicles that
coordinate their movements and operate as a single unit. The vehicle at the head acts as the …

An approach to detecting malicious information attacks for platoon safety

B Ko, SH Son - IEEE Access, 2021 - ieeexplore.ieee.org
Malicious attacks reduce the benefits of cooperative adaptive cruise control (CACC) such as
safety, driving convenience, traffic flow, and fuel efficiency, by destabilizing the stability. To …

Shared reality: detecting stealthy attacks against autonomous vehicles

R Quinonez, S Safaoui, T Summers… - Proceedings of the 2th …, 2021 - dl.acm.org
Autonomous Vehicles (AVs), also known as self-driving cars, are becoming more prevalent
in our daily lives. AVs rely on sensor information to evaluate their environment and make …

Deep-learning-based intrusion detection for autonomous vehicle-following systems

SL Wang, SY Wu, CC Lin, S Boddupalli… - 2021 IEEE …, 2021 - ieeexplore.ieee.org
Autonomous vehicle-following systems, including Adaptive Cruise Control (ACC) and
Cooperative Adaptive Cruise Control (CACC), improve safety, efficiency, and string stability …

Anomaly detection in vehicle platoon with third-order consensus control

D Petrenkov, A Agafonov - 2021 Ural Symposium on …, 2021 - ieeexplore.ieee.org
The development of autonomous connected vehicles, in particular, moving as a platoon
formation, has received great attention in recent years. The autonomous movement allows to …

Runtime Software Selection for Adaptive Automotive Systems

CC Fu, BH Chia, CW Lin - Proceedings of the 26th Asia and South …, 2021 - dl.acm.org
As automotive systems become more intelligent than ever, they need to handle many
functional tasks, resulting in more and more software programs running in automotive …