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基于机器学习的入侵检测系统使用最小正方形支向量机器

Pratik Waghmode1, Manideep Kanumuri1, Hosam El-Ocla2

  • 1Department of Computer Science, Lakehead University, Thunder Bay, ON, Canada.

Scientific reports
|April 8, 2025
PubMed
概括

本研究介绍了一种机器学习入侵检测系统,使用量子启发的最小正方形支向量机 (LS-SVM) 和特征选择. 这种新的方法显著减少了错误的预测和训练时间,以提高网络安全性.

关键词:
网络安全网络安全.深度学习是一种深度学习.详尽的功能选择选择.选择功能选择功能选择.侵入检测系统的入侵检测系统最小方形支向量机的最小方形支向量机.机器学习是机器学习.支持矢量机器的支持矢量机器.

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