6G networks are expected to achieve full autonomous operation through the adoption of intelligent algorithms. This calls for
the introduction of an additional stratum in the network devoted to the management and orchestration of network intelligence. This paper outlines such a layer, its composition and function.
Herein, a method to find security strategies for intrusion prevention in SDP network is presented based on modeling the interaction between an attacker and an SDP Controller as a stochastic game. These security strategies evolve through reinforcement learning and can emerge from self-play.
A recent experiment has indicated that attacks on federated learning can reduce the machine learning model’s accuracy by 22%
Rob Calderbank of Duke University is one of those unusual academics to have spent a long time in commercial telecoms environments. Today, while he is leading Duke’s interdisciplinary work on big data, he has also recently published work on something he calls pulsones, which may contribute to a more efficient future air interface. 6GWorld caught up with him to find out more about this, and why a big data professor is worrying about radio.