Learning Intrusion Prevention Policies through Optimal Stopping-Reference-Cited by-同舟云学术

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Learning Intrusion Prevention Policies through Optimal Stopping

Published:2021-10-25 Issue: Volume: Page:
ISSN:
Container-title:2021 17th International Conference on Network and Service Management (CNSM)
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Author:

Hammar Kim,Stadler Rolf

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9615441/9615442/09615542.pdf?arnumber=9615542

Cited by 16 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. A method of network attack-defense game and collaborative defense decision-making based on hierarchical multi-agent reinforcement learning;Computers & Security;2024-07

2. Intrusion Tolerance for Networked Systems through Two-Level Feedback Control;2024 54th Annual IEEE/IFIP International Conference on Dependable Systems and Networks (DSN);2024-06-24

3. Joint Long-Term User Scheduling and Beamforming Design for Burst IIoT;IEEE Internet of Things Journal;2024-06-15

4. Comparative DQN-Improved Algorithms for Stochastic Games-Based Automated Edge Intelligence-Enabled IoT Malware Spread-Suppression Strategies;IEEE Internet of Things Journal;2024-06-15

5. Reinforcement learning-based autonomous attacker to uncover computer network vulnerabilities;Neural Computing and Applications;2024-05-07

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