Federated learning-based vehicle trajectory prediction against cyberattacks
Z Wang, T Yan - 2023 IEEE 29th International Symposium on …, 2023 - ieeexplore.ieee.org
With the development of the Internet of Vehicles (IoV), vehicle wireless communication
poses serious cybersecurity challenges. Faulty information, such as fake vehicle positions …
poses serious cybersecurity challenges. Faulty information, such as fake vehicle positions …
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 …
Mitigating Location-based Attacks Using Predication Models in Vehicular Ad-Hoc Networks
The modern world is constantly in a state of technological revolution. Everyday new
technological ideas, inventions, and threats emerge. With modern computer software and …
technological ideas, inventions, and threats emerge. With modern computer software and …
Predict and prevent from misbehaving intruders in heterogeneous vehicular networks
H Sedjelmaci, SM Senouci, T Bouali - Vehicular Communications, 2017 - Elsevier
The great evolution of communication technologies and potential availability of network
access mediums and service providers have led to the appearance of heterogeneous …
access mediums and service providers have led to the appearance of heterogeneous …
VSFL: Trajectory Prediction Framework Based on Validity-aware Semi-asynchronous Federated Learning in Internet of Vehicles
Y Li, X Xu, G Huang, M Yao, L Sun, J Xu - Computer Communications, 2024 - Elsevier
Accurate prediction of vehicle trajectories on the Internet of Vehicles is crucial for improving
traffic safety. Federated learning has been proposed to address the issue of islands in …
traffic safety. Federated learning has been proposed to address the issue of islands in …
Auto-Updating Intrusion Detection System for Vehicular Network: A Deep Learning Approach Based on Cloud-Edge-Vehicle Collaboration
Intrusion detection systems play a crucial role in ensuring the safety of vehicle driving.
Traditional intrusion detection systems face challenges in efficiently extracting key features …
Traditional intrusion detection systems face challenges in efficiently extracting key features …
Efficient detection and localization of dos attacks in heterogeneous vehicular networks
Vehicular communication has emerged as a powerful tool for providing a safe and
comfortable driving experience for users. Long Term Evolution (LTE) supports and …
comfortable driving experience for users. Long Term Evolution (LTE) supports and …
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 …
Secure and lightweight message dissemination framework for internet of vehicles
U Bodkhe, S Tanwar - Security and Privacy - Wiley Online Library
Abstract The Internet of Vehicles (IoV) revolutionizes vehicle communication in dynamic
networks. Message dissemination in IoV involves sharing critical information for the safety …
networks. Message dissemination in IoV involves sharing critical information for the safety …
FL-MAAE: An intrusion detection method for the Internet of Vehicles based on federated learning and memory-augmented autoencoder
L Xing, K Wang, H Wu, H Ma, X Zhang - Electronics, 2023 - mdpi.com
The Internet of Vehicles (IoV) is a network system that enables wireless communication and
information exchange between vehicles and other traffic participants. Intrusion detection …
information exchange between vehicles and other traffic participants. Intrusion detection …