DQ-RM: Deep Reinforcement Learning-based Route Mutation Scheme for Multimedia Services-Reference-Cited by-同舟云学术

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DQ-RM: Deep Reinforcement Learning-based Route Mutation Scheme for Multimedia Services

Published:2020-06 Issue: Volume: Page:
ISSN:
Container-title:2020 International Wireless Communications and Mobile Computing (IWCMC)
language:
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Author:

Zhang Tao,Xu Changqiao,Zhang Bingchi,Kuang Xiaohui,Wang Yue,Yang Shujie,Muntean Gabriel-Miro

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9142627/9148048/09148371.pdf?arnumber=9148371

Cited by 11 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Multi-Constraint and Multi-Policy Path Hopping Active Defense Method Based on SDN;Future Internet;2024-04-22

2. When Moving Target Defense Meets Attack Prediction in Digital Twins: A Convolutional and Hierarchical Reinforcement Learning Approach;IEEE Journal on Selected Areas in Communications;2023-10

3. How to Mitigate DDoS Intelligently in SD-IoV: A Moving Target Defense Approach;IEEE Transactions on Industrial Informatics;2023-01

4. EVADE: Efficient Moving Target Defense for Autonomous Network Topology Shuffling Using Deep Reinforcement Learning;Applied Cryptography and Network Security;2023

5. Multi-Domain Multicast Routing Mutation Scheme for Resisting DDoS attacks;2022 International Wireless Communications and Mobile Computing (IWCMC);2022-05-30

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