A distributed intrusion detection framework for vehicular Ad Hoc networks via federated learning and Blockchain

Research article

Authors

Fedwa Mansouri
Mounira Tarhouni
Bechir Alaya
Salah Zidi

Research overview

This study examines a distributed intrusion-detection approach for vehicular ad hoc networks using federated learning and blockchain. It connects collaborative model training with security and privacy questions in connected transport systems.

Publication details

Publication date
2025
Journal / proceedings
Ad Hoc Networks
Publisher
Elsevier
Volume
167
Article number
103677
DOI
10.1016/j.adhoc.2024.103677

Related expertise

Citation

Fedwa Mansouri; Mounira Tarhouni; Bechir Alaya; Salah Zidi. 2025. A distributed intrusion detection framework for vehicular Ad Hoc networks via federated learning and Blockchain. Ad Hoc Networks. https://www.sciencedirect.com/science/article/abs/pii/S1570870524002889

Publication by a BECOME Researcher

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Scientist

becomePhD

Fedwa MANSOURI

PhD Researcher | AI & NLP

Fedwa Mansouri is a doctoral researcher in Computer Science at the University of Gabès and a member of BECOME's scientific team through becomePhD. Her interests span language models, NLP, Deep Learning and Reinforcement Learning, supported by applied experience in text classification and Python development.

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