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Chafika Benzaïd

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#reinforcement learning Review Nov 2026

Moving target defense in 5G and beyond networks: A comprehensive survey and research directions

This paper presents a deployment-oriented survey of MTD for 5G, with special emphasis on learning-assisted designs that optimize what to mutate, when to mutate, and how to enforce mutation under slice-isolation, URLLC, and orchestration constraints.

Amir Javadpour, Forough Ja'fari, T. Taleb et al. · 0 citations

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