Deep Q-Learning Based Reinforcement Learning Approach for Network Intrusion Detection

The rise of the new generation of cyber threats demands more sophisticated and intelligent cyber defense solutions equipped with autonomous agents capable of learning to make decisions without the knowledge of human experts. Several reinforcement learning methods (e.g., Markov) for automated network...

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Bibliographic Details
Main Authors: Hooman Alavizadeh, Hootan Alavizadeh, Julian Jang-Jaccard
Format: Article
Language:English
Published: MDPI AG 2022-03-01
Series:Computers
Subjects:
Online Access:https://www.mdpi.com/2073-431X/11/3/41