A micro Reinforcement Learning architecture for Intrusion Detection Systems-Reference-Cited by-同舟云学术

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A micro Reinforcement Learning architecture for Intrusion Detection Systems

Published:2024-09 Issue: Volume:185 Page:81-86
ISSN:0167-8655
Container-title:Pattern Recognition Letters
language:en
Short-container-title:Pattern Recognition Letters

Author:

Darabi Boshra^ORCID,Bag-Mohammadi Mozafar^ORCID,Karami Mojtaba

Publisher

Elsevier BV

Reference26 articles.

1. Survey of intrusion detection systems: techniques, datasets and challenges;Khraisat;Cybersecurity,2019

2. Application of deep reinforcement learning to intrusion detection for supervised problems;Lopez-Martin;Expert Syst. Appl.,2020

3. Applications of deep reinforcement learning in communications and networking: A survey;Luong;IEEE Commun. Surv. Tutor.,2019

4. A context-aware robust intrusion detection system: a reinforcement learning-based approach;Sethi;Int. J. Inf. Secur.,2020

5. Deep Q-learning based reinforcement learning approach for network intrusion detection;Alavizadeh;Computers,2022

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