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集成学习框架用于入侵检测,以增强物联网设备的安全性

Yazeed Alotaibi1, Mohammad Ilyas1

  • 1Department of Electrical Engineering and Computer Science, Florida Atlantic University, 777 Glades Road, Boca Raton, FL 33431, USA.

Sensors (Basel, Switzerland)
|July 8, 2023
PubMed
概括

这项研究通过使用机器学习集合分类器来增强物联网的入侵检测系统 (IDS). 改进的IDS有效地检测高精度的网络攻击,确保物联网数据传输的安全.

关键词:
组合学习组合学习物联网的东西互联网.侵入检测系统的入侵检测系统机器学习是机器学习.安全的安全的安全的安全的安全.

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