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
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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