Fast and progressive misbehavior detection in internet of vehicles based on broad learning and incremental learning systems
In recent years, deep learning (DL) has been widely used in vehicle misbehavior detection
and has attracted great attention due to its powerful nonlinear mapping ability. However …
and has attracted great attention due to its powerful nonlinear mapping ability. However …
A machine-learning-based data-centric misbehavior detection model for internet of vehicles
P Sharma, H Liu - IEEE Internet of Things Journal, 2020 - ieeexplore.ieee.org
The Internet of Things (IoT) boosts road safety, efficiency, and infotainment by connecting
vehicles to form the Internet of Vehicles (IoV). Specifically to safety, IoV complements …
vehicles to form the Internet of Vehicles (IoV). Specifically to safety, IoV complements …
Federated learning-based misbehaviour detection for the 5G-enabled internet of vehicles
The concept of federated learning (FL) is becoming increasingly popular as a method for
training collaborative models without loss the sensitive information. The term has become …
training collaborative models without loss the sensitive information. The term has become …
A deep learning-based integrated algorithm for misbehavior detection system in VANETs
With the advance in the internet of things (IoT), wireless communication, and artificial
intelligence, nowadays, people can enjoy the autonomous driving system. Meanwhile …
intelligence, nowadays, people can enjoy the autonomous driving system. Meanwhile …
Machine learning based trust model for misbehaviour detection in internet-of-vehicles
The recent state-of-the-art advancements in vehicular ad hoc networks (VANETs) have led
to the emergence and rapid proliferation of the promising notion of the Internet-of-Vehicles …
to the emergence and rapid proliferation of the promising notion of the Internet-of-Vehicles …
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 …
futuristic vehicular networks such as Internet-of-Vehicles (IoV). The IoV is expected to usher …
Retracted: An Evolutionary Deep Learning Anomaly Detection Framework for In-Vehicle Networks-CAN Bus
Y Lin, C Chen, F Xiao, O Avatefipour… - IEEE transactions on …, 2020 - ieeexplore.ieee.org
Modern vehicles are no longer considered as mere mechanical-based device, instead, they
have been hugely replaced by sophisticated electric devices known as Electronic Control …
have been hugely replaced by sophisticated electric devices known as Electronic Control …
Reinforcement learning-based misbehaviour detection in V2X scenarios
R Sedar, C Kalalas, F Vázquez-Gallego… - 2021 IEEE …, 2021 - ieeexplore.ieee.org
Emerging vehicle-to-everything (V2X) services rely on the secure exchange of periodic
messages between vehicles and between vehicles and infrastructure. However …
messages between vehicles and between vehicles and infrastructure. However …
[HTML][HTML] Novel hyper-tuned ensemble random forest algorithm for the detection of false basic safety messages in internet of vehicles
Detection of nodes disseminating false data is a prerequisite for effective deployment of
Internet of Vehicles (IoV) services. This work proposed a novel hyper-tuned ensemble …
Internet of Vehicles (IoV) services. This work proposed a novel hyper-tuned ensemble …
A survey on misbehavior detection for connected and autonomous vehicles
Connected and autonomous vehicles have recently emerged as promising technological
solutions to optimize traffic congestion, prevent accidents, and enhance driving safety and …
solutions to optimize traffic congestion, prevent accidents, and enhance driving safety and …