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Energy scheduling for DoS attack over multi-hop networks: Deep reinforcement learning approach

Author(s): Yang L; Tao J; Liu YH; Xu Y; Su CY;

This paper studies the energy scheduling for Denial-of-Service (DoS) attack against remote state estimation over multi-hop networks. A smart sensor observes a dynamic system, and transmits its local state estimate to a remote estimator. Due to the limited communication range of the sensor, some relay nodes are employed to deliver data packets from the sen ...

Article GUID: 36848827


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