The research team aims to identify and create CPS-specific SDN and Network Slices attack datasets in the 5G Network. At the same time, most of the datasets are generated in virtualized environments. They aim to present an efficient, fast, scalable, and intelligent Federated Learning (FL) approach that will not only be able to detect multi-attacks in SDN and Network Slices but also will be able to defend FL from Byzantin Attacks like data and model poisoning
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