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Faouzi Jaidi

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Open access Aug 2026

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

An engineering framework for privacy-preserving federated threat intelligence sharing that integrates trust-aware robust aggregation with blockchain-based integrity anchoring is proposed that confirms the effectiveness of the proposed trust-aware aggregation mechanism in mitigating malicious updates while preserving stable convergence and reliable intrusion detection performance.

Mehdi Houichi, Faouzi Jaidi, Adel Bouhoula · 0 citations

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