2024
DOI: 10.3390/math12070948
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Intrusion Detection Based on Adaptive Sample Distribution Dual-Experience Replay Reinforcement Learning

Haonan Tan,
Le Wang,
Dong Zhu
et al.

Abstract: In order to cope with ever-evolving and increasing cyber threats, intrusion detection systems have become a crucial component of cyber security. Compared with signature-based intrusion detection methods, anomaly-based methods typically employ machine learning techniques to train detection models and possess the capability to discover unknown attacks. However, intrusion detection methods face the challenge of low detection rates for minority class attacks due to imbalanced data distributions. Traditional intrus… Show more

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