A survey on attack detection and resilience for connected and automated vehicles: From vehicle dynamics and control perspective

Z Ju, H Zhang, X Li, X Chen, J Han… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
Recent advances in attack/anomaly detection and resilience strategies for connected and
automated vehicles (CAVs) are reviewed from vehicle dynamics and control perspective …

Attack detection and defense system using an unknown input observer for cooperative adaptive cruise control systems

Y Yamamoto, N Kuze, T Ushio - IEEE Access, 2021 - ieeexplore.ieee.org
Cooperative adaptive cruise control (CACC) is a technology for the automated control of
platoons of vehicles. CACC controls the behavior of vehicles based on information that is …

[PDF][PDF] Evaluations of cyber attacks on cooperative control of connected and autonomous vehicles at bottleneck points

HM Ahmad, E Sabouni, W Xiao… - … on Vehicles Security …, 2023 - par.nsf.gov
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 …

Designing and testing a secure cooperative adaptive cruise control under false data injection attack

J Cunningham-Rush, J Holland, S Noei… - … IEEE Conference on …, 2023 - ieeexplore.ieee.org
Cooperative adaptive cruise control (CACC) is one of the many advanced driver assistance
systems (ADAS) that utilize communication between nearby vehicles to maintain speed …

Trust-aware resilient control and coordination of connected and automated vehicles

HMS Ahmad, E Sabouni, W Xiao… - 2023 IEEE 26th …, 2023 - ieeexplore.ieee.org
We address the security of a network of Connected and Automated Vehicles (CAVs)
cooperating to navigate through a conflict area. Adversarial attacks such as Sybil attacks can …

Adversarial machine learning-based anticipation of threats against vehicle-to-microgrid services

A Omara, B Kantarci - GLOBECOM 2022-2022 IEEE Global …, 2022 - ieeexplore.ieee.org
In this paper, we study the expanding attack surface of Adversarial Machine Learning (AML)
and the potential attacks against Vehicle-to-Microgrid (V2M) services. We present an …

Data-injection-proof-predictive vehicle platooning: Performance analysis with cellular-V2X sidelink communications

S Fu, Z Jiang, S Zhang, S Xu, B Han… - IEEE Internet of …, 2021 - ieeexplore.ieee.org
The increasing demand for road freight has raised tremendous attention to vehicle
platooning, which reduces air resistance and improves fuel economy. To achieve a small …

Resilient Event Triggered Interval Type‐2 Fuzzy Sliding Mode Control for Connected and Autonomous Vehicles Subjected to Multiple Cyber Attacks

A Mohammed, C Ramlal, L Marine… - Journal of Advanced …, 2024 - Wiley Online Library
Connected and autonomous vehicles (CAVs) are considered a hot area of research in the
field of intelligent transportation systems. However, over the past few years, cybersecurity …

Secure control design for cooperative adaptive cruise control with a time-varying input delays under false data injection attacks

P Ansari Bonab, F Javidi-Niroumand… - International Journal of …, 2024 - Taylor & Francis
ABSTRACT Connected and Autonomous Vehicles (CAVs) are shaping the future of
transportation systems; however, their future development requires consideration of the …

Privacy-preserving data-enabled predictive leading cruise control in mixed traffic

K Zhang, K Chen, Z Li, J Chen… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
Data-driven predictive control of connected and automated vehicles (CAVs) has received
increasing attention as it can achieve safe and optimal control without relying on explicit …