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 …

Demystifying in-vehicle intrusion detection systems: A survey of surveys and a meta-taxonomy

G Karopoulos, G Kambourakis, E Chatzoglou… - Electronics, 2022 - mdpi.com
Breaches in the cyberspace due to cyber-physical attacks can harm the physical space, and
any type of vehicle is an alluring target for wrongdoers for an assortment of reasons …

A collaborative V2X data correction method for road safety

L Zhao, H Chai, Y Han, K Yu… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
Driving safety is one of the most important points to concern on the road. Vehicles constantly
generate messages under vehicle-to-everything (V2X) assisted driving. Especially, in dense …

Unsupervised deep learning for IoT time series

Y Liu, Y Zhou, K Yang, X Wang - IEEE Internet of Things …, 2023 - ieeexplore.ieee.org
Internet of Things (IoT) time-series analysis has found numerous applications in a wide
variety of areas, ranging from health informatics to network security. Nevertheless, the …

AI-empowered trajectory anomaly detection and classification in 6G-V2X

G Raja, M Begum, S Gurumoorthy… - IEEE Transactions …, 2022 - ieeexplore.ieee.org
The immense growth of Autonomous Vehicles (AVs) and networking technologies have
paved the way for advanced Intelligent Transportation Systems (ITS). AVs increase data …

A survey on ai/ml-driven intrusion and misbehavior detection in networked autonomous systems: techniques, challenges and opportunities

O Ajibuwa, B Hamdaoui, AA Yavuz - arxiv preprint arxiv:2305.05040, 2023 - arxiv.org
AI/ML-based intrusion detection systems (IDSs) and misbehavior detection systems (MDSs)
have shown great potential in identifying anomalies in the network traffic of networked …

Reinforcement learning based misbehavior detection in vehicular networks

R Sedar, C Kalalas, F Vázquez-Gallego… - ICC 2022-IEEE …, 2022 - ieeexplore.ieee.org
Vehicle-to-everything (V2X) communication is contributing towards the realization of
futuristic vehicular networks such as Internet-of-Vehicles (IoV). The IoV is expected to usher …

Multi layered Misbehavior Detection for a connected and autonomous vehicle

M Bouchouia - 2023 - theses.hal.science
In recent years, the vehicular field has undergone significant advancements with the
development of autonomous vehicles and smart cities. These advancements have brought …

Reinforcement learning-based security orchestration for 5g-v2x network slicing at cross-borders

A Boualouache, AA Korba, SM Senouci… - … 2023-2023 IEEE …, 2023 - ieeexplore.ieee.org
As part of the 5G, Connected and Automated Vehicles (CAVs) will benefit from Network
Slicing (NS) in several tailored 5G-Vehicle-to-Everything (V2X) services running on the …

RSU-Based Intrusion Detection and Autonomous Intersection Response Systems

PJ Yurkovich - 2022 - vtechworks.lib.vt.edu
Vehicular safety and efficiency has been an ongoing research topic since the creation of the
automobile. Despite this, deaths due to vehicular accidents are still extremely common, with …