Integration of blockchain technology and federated learning in vehicular (iot) networks: A comprehensive survey
The Internet of Things (IoT) revitalizes the world with tremendous capabilities and potential
to be utilized in vehicular networks. The Smart Transport Infrastructure (STI) era depends …
to be utilized in vehicular networks. The Smart Transport Infrastructure (STI) era depends …
A comprehensive survey on vehicular networking: Communications, applications, challenges, and upcoming research directions
Nowadays, advanced communication technologies are being utilized to develop intelligent
transportation management and driving assistance. Through the ability to exchange traffic …
transportation management and driving assistance. Through the ability to exchange traffic …
Fusion of engineering insights and emerging trends: Intelligent urban traffic management system
Traffic congestion is a great concern, especially in urban areas where the vehicles' number
on roads continues to intensify significantly against the slow development of road …
on roads continues to intensify significantly against the slow development of road …
Improved naive Bayes classification algorithm for traffic risk management
H Chen, S Hu, R Hua, X Zhao - EURASIP Journal on Advances in Signal …, 2021 - Springer
Naive Bayesian classification algorithm is widely used in big data analysis and other fields
because of its simple and fast algorithm structure. Aiming at the shortcomings of the naive …
because of its simple and fast algorithm structure. Aiming at the shortcomings of the naive …
A comprehensive survey on data dissemination in Vehicular Ad Hoc Networks
Abstract Vehicular Ad Hoc Networks (VANET) are self-organized wireless network for
Intelligent Transportation Systems (ITS) that allow vehicles to collaborate with each other, to …
Intelligent Transportation Systems (ITS) that allow vehicles to collaborate with each other, to …
Federated learning for 6G-enabled secure communication systems: a comprehensive survey
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 …
from business, medicine, industries, healthcare, transportation, smart cities, and many more …
An adaptive real-time malicious node detection framework using machine learning in vehicular ad-hoc networks (VANETs)
Modern vehicle communication development is a continuous process in which cutting-edge
security systems are required. Security is a main problem in the Vehicular Ad Hoc Network …
security systems are required. Security is a main problem in the Vehicular Ad Hoc Network …
A survey of VANET/V2X routing from the perspective of non-learning-and learning-based approaches
Intelligent transportation systems (ITSs) have become increasingly popular because they
support effective coordination in connected vehicles. ITSs present an integrated approach …
support effective coordination in connected vehicles. ITSs present an integrated approach …
[HTML][HTML] Fuzzy decision-making framework for explainable golden multi-machine learning models for real-time adversarial attack detection in Vehicular Ad-hoc …
This paper addresses various issues in the literature concerning adversarial attack detection
in Vehicular Ad-hoc Networks (VANETs). These issues include the failure to consider both …
in Vehicular Ad-hoc Networks (VANETs). These issues include the failure to consider both …
Game-o-Meta: Trusted Federated Learning Scheme for P2P Gaming Metaverse beyond 5G Networks
P Bhattacharya, A Verma, VK Prasad, S Tanwar… - Sensors, 2023 - mdpi.com
The aim of the peer-to-peer (P2P) decentralized gaming industry has shifted towards
realistic gaming environment (GE) support for game players (GPs). Recent innovations in …
realistic gaming environment (GE) support for game players (GPs). Recent innovations in …