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优化物联网入侵检测使用平衡类分布,特征选择和集成机器学习技术

Muhammad Bisri Musthafa1, Samsul Huda2, Yuta Kodera1

  • 1Graduate School of Environmental, Life, Natural Science and Technology, Okayama University, Okayama 700-8530, Japan.

Sensors (Basel, Switzerland)
|July 13, 2024
PubMed
概括

为物联网 (IoT) 优化入侵检测系统 (IDS) 对网络安全至关重要. 这项研究通过使用类平衡和特征选择来提高IDS性能,LSTM堆叠在检测网络攻击方面实现了卓越的准确性.

关键词:
班级平衡是一种平衡.组合技巧 组合技巧 组合技巧功能选择 功能选择侵入检测系统的入侵检测系统堆叠长时间的短期记忆.

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