Author

Aida Meftah

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2026

CGAN-Augmented Federated Learning for Adaptive Multi-Strategy Jamming Detection in Stochastic Tactical Air–Ground Network

Tactical wireless networks, particularly stochastic tactical air-ground networks (STAGNs), operate in highly adversarial and dynamic environments. Accordingly, these systems face increasing challenges from adaptive multi-strategy jamming attacks that closely resemble legitimate signals and disrupt communication reliabi...

Aida Meftah, Georges Kaddoum · IEEE Communications Letters · 0 citations

2026

Federated Learning-Empowered Jamming Detection for Stochastic Uplink and Downlink Integrated Terrestrial and Non-Terrestrial Networks

In this paper, we present a novel approach that integrates the reliability and fast data transfer capabilities of terrestrial-based infrastructure with the extensive coverage of non-terrestrial networks, thereby creating a seamless and resilient communication network. The proposed integration addresses the issue of ada...

Aida Meftah, Tri Nhu Do, Georges Kaddoum et al. · IEEE Transactions on Network... · 0 citations