Federated Learning for the Internet of Vehicles: Advances and Applicatons - Couverture souple

BEN JAAFAR, Inès; Rabaoui, Moheddine

 
9786208433086: Federated Learning for the Internet of Vehicles: Advances and Applicatons
Couverture souple
ISBN 10 : 6208433088 ISBN 13 : 9786208433086
Editeur : LAP LAMBERT Academic Publishing, 2025

Synopsis

The rapid evolution of the Internet of Vehicles (IoV) introduces significant advancements in smart transportation systems, yet also presents critical challenges in data security, privacy, and real-time decision-making. This study proposes a Federated Learning (FL)-based security framework for IoV, integrating Federated Averaging (FedAvg) and Differential Privacy (DP) to enhance cybersecurity while preserving data privacy. The proposed model leverages decentralized machine learning techniques to mitigate security threats, reduce reliance on raw data transmission, and prevent unauthorized access to sensitive vehicle and user data. Through extensive empirical analysis using real-world cybersecurity datasets, this research evaluates the performance, scalability, and efficiency of FL-based security mechanisms compared to conventional approaches.

Les informations fournies dans la section « Synopsis » peuvent faire référence à une autre édition de ce titre.

Éditeur
LAP LAMBERT Academic Publishing
Date d'édition
2025
Langue
anglais
ISBN 10 
6208433088
ISBN 13 
9786208433086
Reliure
Broché
Nombre de pages
140
Coordonnées du fabricant
non disponible
Personne responsable
KreGa Onlinehandel GmbH
4950000000000
info@krega-onlinehandel.de

Birkenweg 31
Brakel
33034
Allemagne