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高斯·马尔科夫和流平衡向量辐射学习物联网上的网络流量分类使用SDN物联网

Rajkumar Kulandaivel1, Manikandan Ramachandran1, Sathishkumar Veerappampalayam Easwaramoorthy2

  • 1School of Computing, SASTRA Deemed University, Thanjavur, Tamil Nadu, India.

PloS one
|October 1, 2024
PubMed
概括

本研究引入了一种新方法,用于使用软件定义网络 (SDN) 来对物联网 (IoT) 设备的网络流量进行分类. 高斯马尔科夫和流平衡矢量辐射学习 (GM-FVRL) 技术提高了物联网网络的准确性并减少了延迟.

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