优化了物联网和雾计算中的入侵检测,使用集体学习和高级功能选择

Mohammed Tawfik1

  • 1Faculty of Computer and Information Technology, Sana'a University, Sana'a, Yemen.

PloS one
|August 1, 2024
PubMed
概括

本研究引入了一种用于物联网 (IoT) 和雾计算环境中的入侵检测的新框架. 该系统在识别网络威胁方面达到99%以上的准确性,提高了网络安全.

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Classification of Systems-II01:31

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Classification of Signals

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