Federated learning-based misbehaviour detection for the 5G-enabled internet of vehicles

P Rani, C Sharma, JVN Ramesh… - IEEE Transactions …, 2023 - ieeexplore.ieee.org
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 …

Federated Learning-based Misbehaviour detection on an emergency message dissemination scenario for the 6G-enabled Internet of Vehicles

LJ Vinita, V Vetriselvi - Ad Hoc Networks, 2023 - Elsevier
With the 6G-enabled Internet of Vehicles (IoV), the Intelligent Transportation System (ITS)
uses new communication technologies and smart data analysis to make transportation …

Fast and progressive misbehavior detection in internet of vehicles based on broad learning and incremental learning systems

X Wang, Y Zhu, S Han, L Yang, H Gu… - IEEE Internet of Things …, 2021 - ieeexplore.ieee.org
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 …

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 …

Blockchain-Enabled Federated Learning for Enhanced Collaborative Intrusion Detection in Vehicular Edge Computing

Z Abou El Houda, H Moudoud, B Brik… - IEEE Transactions on …, 2024 - ieeexplore.ieee.org
Intelligent Transportation Systems (ITSs) are transforming the global monitoring of road
safety. These systems, including vehicular networks and transportation infrastructure, are …

Cyber security and privacy of connected and automated vehicles (CAVs)-based federated learning: challenges, opportunities, and open issues

N Hussain, P Rani, H Chouhan, US Gaur - Federated learning for IoT …, 2022 - Springer
Connected and automated vehicles (CAVs) are becoming a reality. Prototyping and testing
of self-driving vehicle technology are becoming more popular around the world. The secure …

Secure attack detection framework for hierarchical 6G-enabled internet of vehicles

H Sedjelmaci, N Kaaniche… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
The Sixth Generation Heterogeneous Network (6G HetNet) is a global interconnected
system that serves a myriad variety of applications and services across multiple domains …

Misbehavior detection in vehicular ad hoc networks based on privacy-preserving federated learning and blockchain

P Lv, L Xie, J Xu, X Wu, T Li - IEEE Transactions on Network …, 2022 - ieeexplore.ieee.org
As an irreversible trend, connected vehicles have become increasingly more popular. They
depend on the generation and sharing of data between vehicles to improve safety and …

Cybersecurity threats in connected and automated vehicles based federated learning systems

R Al Mallah, G Badu-Marfo… - 2021 IEEE Intelligent …, 2021 - ieeexplore.ieee.org
Federated learning (FL) is a machine learning technique that aims at training an algorithm
across decentralized entities holding their local data private. Wireless mobile networks allow …

On-demand security framework for 5GB vehicular networks

A Boualouache, B Brik, SM Senouci… - IEEE Internet of Things …, 2023 - ieeexplore.ieee.org
Building accurate Machine Learning (ML) attack detection models for 5G and Beyond (5GB)
vehicular networks requires collaboration between Vehicle-to-Everything (V2X) nodes …