ADVERSARIAL REINFORCEMENT LEARNING-BASED CONVERGED COMMUNICATION EFFICIENCY IMPROVEMENT METHOD FOR POWER DISTRIBUTION NETWORK

Adversarial Reinforcement Learning-Based Converged Communication Efficiency Improvement Method for Power Distribution Network

In order to satisfy the diversified communication requirements of terminal source nodes in power Bar Stools distribution network, it is necessary to optimize the communication orchestration in power distribution unified communication network.Firstly, we construct the joint optimization problem of data transmission delay and energy consumption.Then,

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Consortium Blockchain-Based Malware Detection in Mobile Devices

To address the problem of detecting malicious codes in malware and extracting the corresponding evidences in mobile devices, we construct a consortium blockchain framework, which is composed of a detecting consortium chain shared by test members and a public chain shared by users.Specifically, in view of Cappuccino Mug different malware families in

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