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A survey on machine learning-based misbehavior detection systems for 5g and beyond vehicular networks
Advances in Vehicle-to-Everything (V2X) technology and onboard sensors have significantly
accelerated deploying Connected and Automated Vehicles (CAVs). Integrating V2X with 5G …
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
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 …
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 …
generate messages under vehicle-to-everything (V2X) assisted driving. Especially, in dense …
Unsupervised deep learning for IoT time series
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 …
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 …
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
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 …
have shown great potential in identifying anomalies in the network traffic of networked …
Reinforcement learning based misbehavior detection in vehicular networks
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 …
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 …
development of autonomous vehicles and smart cities. These advancements have brought …
Reinforcement learning-based security orchestration for 5g-v2x network slicing at cross-borders
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 …
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 …
automobile. Despite this, deaths due to vehicular accidents are still extremely common, with …