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物联网的入侵检测框架与规则诱导模型解释

Kayode S Adewole1,2, Andreas Jacobsson1,2, Paul Davidsson1,2

  • 1Department of Computer Science and Media Technology, Malmö University, 205 06 Malmö, Sweden.

Sensors (Basel, Switzerland)
|April 28, 2025
PubMed
概括

本研究介绍了一个入侵检测系统 (IDS) 框架,用于物联网 (IoT) 安全. XGBoost在检测入侵方面表现出卓越的性能,提供了一个透明和可信的解决方案.

关键词:
在IDS IDS中,您可以使用组合模型组合模型组合模型可以解释性的解释性.功能选择 功能选择检测入侵 检测入侵机器学习是机器学习.规则的诱导规则的诱导安全的安全的安全的安全的安全.

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