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 …

Anomaly detection in automated vehicles using multistage attention-based convolutional neural network

AR Javed, M Usman, SU Rehman… - IEEE Transactions …, 2020 - ieeexplore.ieee.org
Connected and Automated Vehicles (CAVs), owing to their characteristics such as seamless
and real-time transfer of data, are imperative infrastructural advancements to realize the …

Anomaly Detection in Connected and Autonomous Vehicles: A Survey, Analysis, and Research Challenges

S Baccari, M Hadded, H Ghazzai, H Touati… - IEEE …, 2024 - ieeexplore.ieee.org
In Intelligent Transportation Systems (ITS), ensuring road safety has paved the way for
innovative advancements such as autonomous driving. These self-driving vehicles, with …

Anomaly detection and string stability analysis in connected automated vehicular platoons

Y Wang, R Zhang, N Masoud, HX Liu - Transportation research part C …, 2023 - Elsevier
In this study, we develop a comprehensive framework to model the impact of cyberattacks on
safety, security, and head-to-tail stability of connected and automated vehicular platoons …

WKN-OC: a new deep learning method for anomaly detection in intelligent vehicles

Z He, Y Chen, H Zhang, D Zhang - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
Connected and automated vehicles (CAVs) play a vital role in transforming human mobility,
tackling road congestion and road safety. However, CAVs rely heavily on the security …

V2xsim: A v2x simulator for connected and automated vehicle environment simulation

E Zhang, N Masoud - 2020 IEEE 23rd International Conference …, 2020 - ieeexplore.ieee.org
In this work we propose a vehicle-to-everything (V2X) simulator, called V2XSim, for
connected vehicle (CV) environment simulation. As this field is rather new, many …

CAVIDS: Real time intrusion detection system for connected autonomous vehicles using logical analysis of data

A Kumar, TK Das - Vehicular Communications, 2023 - Elsevier
Abstract In recent times, Connected Autonomous Vehicles (CAVs) have been gaining
popularity and have already begun to revolutionize the transport industry, mainly using real …

Risk assessment for connected vehicles under stealthy attacks on vehicle-to-vehicle networks

T Yang, C Murguia, C Lv - arXiv preprint arXiv:2109.01553, 2021 - arxiv.org
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 …

Time-Series Anomaly Detection in Automated Vehicles Using D-CNN-LSTM Autoencoder

F Khanmohammadi, R Azmi - IEEE Transactions on Intelligent …, 2024 - ieeexplore.ieee.org
It is reasonable to expect Connected and Automated Vehicles (CAVs) to revolutionize the
intelligent world owing to the swapping of seamless and real-time data. Although CAVs …

Vehicle Anomaly Detection by Attention-Enhanced Temporal Convolutional Network

Z He, Y Chen, D Zhang… - 2023 IEEE 6th …, 2023 - ieeexplore.ieee.org
Intelligent transportation system (ITS) is the general trend in the field of transportation. As an
important development direction to promote the realization of ITS, connected and automated …