摘要
随着工业控制网络的普及和应用,网络安全问题也越来越受到关注。为了保障工业控制网络的安全,需要建立一套完整的安全态势感知体系。基于机器学习技术,研究了工业控制网络安全态势感知技术,介绍了网络安全态势感知的关键技术,对比了不同机器学习算法应用于网络安全态势感知的评估与预测效果。
With the popularization and application of industrial control networks,the network security problem is getting more and more attention.In order to guarantee the security of industrial control networks,it is necessary to establish a complete set of security situational awareness system.Based on machine learning technology,this paper studies the security situational awareness technology of industrial control networks,introduces the key technologies of network security situational awareness,and compares the evaluation and prediction effects of different machine learning algorithms applied to network security situational awareness.
作者
闫驰
YAN Chi(College of Information Engineering,Lanzhou Petrochemical Vocational and Technical University,Lanzhou 730060,Gansu,China)
出处
《流体测量与控制》
2024年第2期78-81,共4页
Fluid Measurement & Control
基金
2023年兰州石化职业技术大学科研项目(2023KY-14)
2023年甘肃省高等学校创新基金项目(2023B-295)。
关键词
工业控制网络
安全态势感知
机器学习
industrial control network
security situational awareness
machine learning
