Recent advances on federated learning for cybersecurity and cybersecurity for federated learning for internet of things

B Ghimire, DB Rawat - IEEE Internet of Things Journal, 2022 - ieeexplore.ieee.org
Decentralized paradigm in the field of cybersecurity and machine learning (ML) for the
emerging Internet of Things (IoT) has gained a lot of attention from the government …

A survey of collaborative machine learning using 5G vehicular communications

SV Balkus, H Wang, BD Cornet… - … Surveys & Tutorials, 2022 - ieeexplore.ieee.org
By enabling autonomous vehicles (AVs) to share data while driving, 5G vehicular
communications allow AVs to collaborate on solving common autonomous driving tasks …

Autonomous vehicles security: Challenges and solutions using blockchain and artificial intelligence

G Bendiab, A Hameurlaine, G Germanos… - IEEE Transactions …, 2023 - ieeexplore.ieee.org
The arrival of autonomous vehicles (AVs) promises many great benefits, including increased
safety and reduced energy consumption, pollution, and congestion. However, these engines …

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 …

A comprehensive survey of v2x cybersecurity mechanisms and future research paths

R Sedar, C Kalalas, F Vázquez-Gallego… - IEEE Open Journal …, 2023 - ieeexplore.ieee.org
Recent advancements in vehicle-to-everything (V2X) communication have notably improved
existing transport systems by enabling increased connectivity and driving autonomy levels …

[HTML][HTML] A blockchain based privacy-preserving federated learning scheme for Internet of Vehicles

N Wang, W Yang, X Wang, L Wu, Z Guan, X Du… - Digital Communications …, 2022 - Elsevier
The application of artificial intelligence technology in Internet of Vehicles (IoV) has attracted
great research interests with the goal of enabling smart transportation and traffic …

Federated learning for 6G-enabled secure communication systems: a comprehensive survey

D Sirohi, N Kumar, PS Rana, S Tanwar, R Iqbal… - Artificial Intelligence …, 2023 - Springer
Abstract Machine learning (ML) and Deep learning (DL) models are popular in many areas,
from business, medicine, industries, healthcare, transportation, smart cities, and many more …

A survey on federated learning in data mining

B Yu, W Mao, Y Lv, C Zhang… - … Reviews: Data Mining and …, 2022 - Wiley Online Library
Data mining is a process to extract unknown, hidden, and potentially useful information from
data. But the problem of data island makes it arduous for people to collect and analyze …

Blockchain-based privacy preservation scheme for misbehavior detection in lightweight IoMT devices

S Rahmadika, PV Astillo, G Choudhary… - IEEE Journal of …, 2022 - ieeexplore.ieee.org
The Internet of Medical Things (IoMT) has risen to prominence as a possible backbone in
the health sector, with the ability to improve quality of life by broadening user experience …

Machine learning for security in vehicular networks: A comprehensive survey

A Talpur, M Gurusamy - IEEE Communications Surveys & …, 2021 - ieeexplore.ieee.org
Machine Learning (ML) has emerged as an attractive and viable technique to provide
effective solutions for a wide range of application domains. An important application domain …