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D. Djenouri

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Open access Sep 2026

Cross-Silo Federated Domain Adaptation for Trustworthy and Privacy-Preserving IoT Security in 5G-to-6G Wireless Systems

The convergence of large-scale Internet of Things (IoT) deployments with emerging 5G-to-6G wireless systems introduces unprecedented security challenges due to extreme network heterogeneity, evolving traffic dynamics, and stringent privacy requirements. Deep learning (DL)-based intrusion detection systems (IDS) often s...

S. Zakzouk, Shahid Latif, L. Said et al. · 0 citations
#machine learning Preprint Aug 2026

Clustering-Based Collective Anomaly Detection in IoT Systems: A Graph Neural Network Approach

The rapid advancement of Internet of Things (IoT) technology has led to the widespread deployment of smart, interconnected devices across a range of domains. However, this expansion has also resulted in a substantial increase in network traffic, creating more opportunities for malicious actors to launch cyberattacks an...

Dalila Khettaf, D. Djenouri, Zeinab Rezaeifar et al. · 0 citations
Review Open access Jul 2026

Heterogeneity-Aware Poisoning Attacks and Mitigation in Federated Learning: A Comprehensive Survey and Taxonomy

The central argument is that poisoning mitigation in HFL should not be evaluated only by attack type, defence family, clean accuracy, or attack success rate but also by whether defences observe and protect the channels through which heterogeneity-shaped attacks are expressed.

Aimen Djemaa, D. Djenouri, Phil Legg · 0 citations
Open access Jul 2026

EPoLBFT: A Blockchain Consensus Algorithm for Enhancing Privacy, Invulnerability and Trust in IoT System

Elastic Proof-of-Location Byzantine Fault Tolerance is proposed, a privacy-preserving and location-aware blockchain consensus framework for IoT systems that reduces communication overhead and improves consensus efficiency compared with conventional PBFT-based approaches while strengthening resilience against location-b...

Yunus Kareem, D. Djenouri, Essam Ghadafi · 0 citations

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