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.· IEEE International Symposium...· 0 citations
This paper introduces Unsupervised Graph Collective Anomaly Detection (UGCAD), a novel frame- work designed to identify collective anomalies in IoT network traffic that leverages a variational graph autoencoder to learn the graph representation, which is subsequently used to enhance a clustering algorithm for effective...
Dalila Khettaf, D. Djenouri, Zeinab Rezaeifar et al.· 0 citations
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· Electronics· 0 citations
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· Future Internet· 0 citations
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