Items related to Federated Learning for the Internet of Vehicles: Advances...

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

BEN JAAFAR, Inès; Rabaoui, Moheddine

 
9786208433086: Federated Learning for the Internet of Vehicles: Advances and Applicatons
Softcover
ISBN 10: 6208433088 ISBN 13: 9786208433086
Publisher: 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.

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Publisher
LAP LAMBERT Academic Publishing
Publication date
2025
Language
English
ISBN 10 
6208433088
ISBN 13 
9786208433086
Binding
Paperback
Number of pages
140