IddCyber-security Monitoring of Power Internet of Things based on Machine Learning

Yizhen Sun, Qiyao Li, Jun Gao, Zheng Tian, Zhongwei Chen, Zehua He
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Abstract

The paper designs a new cyber-security monitoring of power Internet of Things based on learning. First, the paper analyzes the characteristics and application scenarios of terminal equipment, and designs the overall structure of network security monitoring based on machine learning method; then the flow model based on Power lot Protocol and the service intrusion detection model of Power lot platform are proposed to realize the intrusion detection function of power lot. Finally, the experiment results show that cyber-security monitoring of power Internet of Things based on machine learning achieves better results.
基于机器学习的电力物联网网络安全监测
本文设计了一种新的基于学习的电力物联网网络安全监控。首先,分析了终端设备的特点和应用场景,设计了基于机器学习方法的网络安全监控总体结构;在此基础上,提出了基于电网协议的流量模型和基于电网平台的业务入侵检测模型,实现了电网入侵检测功能。最后,实验结果表明,基于机器学习的电力物联网网络安全监测取得了较好的效果。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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