A comprehensive survey of v2x cybersecurity mechanisms and future research paths

R Sedar, C Kalalas, F Vázquez-Gallego… - IEEE Open Journal …, 2023 - ieeexplore.ieee.org
Recent advancements in vehicle-to-everything (V2X) communication have notably improved
existing transport systems by enabling increased connectivity and driving autonomy levels …

Data poisoning attacks in intelligent transportation systems: A survey

F Wang, X Wang, XJ Ban - Transportation Research Part C: Emerging …, 2024 - Elsevier
Emerging technologies drive the ongoing transformation of Intelligent Transportation
Systems (ITS). This transformation has given rise to cybersecurity concerns, among which …

A data-driven method for falsified vehicle trajectory identification by anomaly detection

SE Huang, Y Feng, HX Liu - Transportation research part C: emerging …, 2021 - Elsevier
The vehicle-to-infrastructure (V2I) communications enable a wide range of new applications,
which bring prominent benefits to the transportation system. However, malicious attackers …

On the cybersecurity of traffic signal control system with connected vehicles

Y Feng, SE Huang, W Wong, QA Chen… - IEEE Transactions …, 2022 - ieeexplore.ieee.org
Connected vehicle (CV) technology brings both opportunities and challenges to the traffic
signal control (TSC) system. While safety and mobility performance could be greatly …

DRL-TP3: A learning and control framework for signalized intersections with mixed connected automated traffic

Y Guo, J Ma - Transportation Research Part C: Emerging …, 2021 - Elsevier
The emerging connected and automated vehicle (CAV) technologies offer new opportunities
for urban signalized intersection management. Through wireless communication and …

Cybersecurity on connected and automated transportation systems: A survey

A Abdo, H Chen, X Zhao, G Wu… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
Connected and automated vehicles (CAVs) provide various valuable and advanced
services to manufacturers, owners, mobility service providers, and transportation authorities …

Urban traffic signal control robust optimization against Risk-averse and Worst-case cyberattacks

L Zheng, J Bao, Z Mei - Information Sciences, 2023 - Elsevier
Ensuring the cybersecurity of urban traffic signal control systems has become increasingly
important in the digital age. This study proposes a passive countermeasure by designing …

Social psychology inspired distributed ledger technique for anomaly detection in connected vehicles

H Rathore, S Sai, A Gundewar - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
Connected Vehicles (CVs), an integral part of the future of intelligent transportation systems,
use communication and sensing technologies to communicate among vehicles and …

Adversarial attacks and defense in deep reinforcement learning (DRL)-based traffic signal controllers

A Haydari, M Zhang, CN Chuah - IEEE Open Journal of …, 2021 - ieeexplore.ieee.org
Security attacks on intelligent transportation systems (ITS) may result in life-threatening
situations. Combining deep neural networks with reinforcement learning (RL) models called …

Biobjective robust Network-wide traffic signal optimization against Cyber-attacks

J Bao, L Zheng, XJ Ban - Transportation research part C: emerging …, 2023 - Elsevier
In the cyber age, modern traffic signal control systems are inevitably exposed to a wide
range of cyber-attacks, which would negatively impact traffic system performance. To defend …