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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
Verlag: LAP LAMBERT Academic Publishing, 2025

Inhaltsangabe

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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Über die Autorin bzw. den Autor

Prof. Inès Benjaafar recieved the B. SC, M. Sc, Ph. D and Habilitation degrees in BusinessInformatics from the University of Tunis, ISG-Tunis, Tunisia, In 1998, 2000, 2006 and 2019,respectively.She is currently associate Professor with the University of Manouba, ESC-Tunis, Tunisia.

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Verlag
LAP LAMBERT Academic Publishing
Erscheinungsdatum
2025
Sprache
Englisch
ISBN 10 
6208433088
ISBN 13 
9786208433086
Einband
Taschenbuch
Anzahl der Seiten
140
Kontakt zum Hersteller
Nicht verfügbar
Verantwortliche Person
Editions Muse
customerservice@vdm-vsg.de

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Riga
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