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A trust-aware privacy-preserving federated learning framework for secure threat intelligence sharing using blockchain

Published Online: 2026-08-17

Published Print: 2026-09

Authors

Houichi, Mehdi https://orcid.org/0009-0008-0255-9904
Jaidi, Faouzi

Bouhoula, Adel
License Information

Text and Data Mining valid from 2026-08-17

Version of Record valid from 2026-08-17
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Article History

Received: 23 April 2026

Accepted: 16 June 2026

First Online: 17 August 2026

Declarations

Ethics: Not applicable. This study does not involve human participants, animals, clinical trials, or personally identifiable data. The research is based on publicly available cybersecurity datasets and simulated experimental environments.

Conflict of interest: The authors declare no competing interests.

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