@inproceedings{ab88ead40c4d4dac98d8d8ece778ee2e,
title = "A Survey of Reinforcement Learning in Intrusion Detection",
abstract = "With the progress of the Internet and the dependence on mobile devices, the importance of advanced technologies and methodologies for protection in the intrusion detection domain escalates to unseen levels. Even though there are many established machine learning security methods, more work is needed in the Reinforcement learning area. This paper aims to create a survey and outline the recent progress in the Reinforcement learning field applied to intrusion detection and emphasize the importance of further research in this area.",
keywords = "intrusion detection, machine learning, reinforcement learning, survey",
author = "Zheni Utic and Kandethody Ramachandran",
note = "Publisher Copyright: {\textcopyright} 2022 IEEE.; 1st International Conference on AI in Cybersecurity, ICAIC 2022 ; Conference date: 24-05-2022 Through 26-05-2022",
year = "2022",
doi = "10.1109/ICAIC53980.2022.9897058",
language = "English",
series = "2022 1st International Conference on AI in Cybersecurity, ICAIC 2022",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
booktitle = "2022 1st International Conference on AI in Cybersecurity, ICAIC 2022",
address = "United States",
}