Markov games and multi-agent reinforcement learning based decision-making method for cloud-native moving target defense

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Papers | 更新时间：2025-10-27

- Markov games and multi-agent reinforcement learning based decision-making method for cloud-native moving target defense
- Journal on Communications Vol. 46, Issue 9, Pages: 141-152(2025)
- 作者机构：
  
  信息工程大学密码工程学院，河南郑州 450001
- 作者简介：
- 基金信息：
  
  The National Natural Science Foundation of China(62502103)
- DOI：10.11959/j.issn.1000-436x.2025173
  CLC： TP309
- Received：17 June 2025，
  
  Revised：2025-09-28，
  
  Accepted：28 September 2025，
  
  Published：25 September 2025
- 稿件说明：
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耿致远,张恒巍,谭晶磊等.基于马尔可夫博弈与多智能体强化学习的云原生移动目标防御决策方法[J].通信学报,2025,46(09):141-152.

GENG Zhiyuan,ZHANG Hengwei,TAN Jinglei,et al.Markov games and multi-agent reinforcement learning based decision-making method for cloud-native moving target defense[J].Journal on Communications,2025,46(09):141-152.
耿致远,张恒巍,谭晶磊等.基于马尔可夫博弈与多智能体强化学习的云原生移动目标防御决策方法[J].通信学报,2025,46(09):141-152. DOI： 10.11959/j.issn.1000-436x.2025173.

GENG Zhiyuan,ZHANG Hengwei,TAN Jinglei,et al.Markov games and multi-agent reinforcement learning based decision-making method for cloud-native moving target defense[J].Journal on Communications,2025,46(09):141-152. DOI： 10.11959/j.issn.1000-436x.2025173.

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