Design and Optimization of Hybrid CNN-DT Model-Based Network Intrusion Detection Algorithm Using Deep Reinforcement Learning

With the rapid development of network technology, modern systems are facing increasingly complex security threats, which motivates researchers to continuously explore more advanced intrusion detection systems (IDSs). Even though they work effectively in some situations, the existing IDSs based on ma...

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Bibliographic Details
Main Authors:	Lu Qiu, Zhiping Xu, Lixiong Lin, Jiachun Zheng, Jiahui Su
Format:	Article
Language:	English
Published:	MDPI AG 2025-04-01
Series:	Mathematics
Subjects:	deep reinforcement learning network intrusion detection actor–critic algorithms convolutional neural networks decision trees hybrid pooling optimization
Online Access:	https://www.mdpi.com/2227-7390/13/9/1459
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Design and Optimization of Hybrid CNN-DT Model-Based Network Intrusion Detection Algorithm Using Deep Reinforcement Learning

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