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基于粒子滤波的工业控制网络态势感知建模

陆耿虹 冯冬芹

陆耿虹, 冯冬芹. 基于粒子滤波的工业控制网络态势感知建模. 自动化学报, 2018, 44(8): 1405-1412. doi: 10.16383/j.aas.2017.c160830
引用本文: 陆耿虹, 冯冬芹. 基于粒子滤波的工业控制网络态势感知建模. 自动化学报, 2018, 44(8): 1405-1412. doi: 10.16383/j.aas.2017.c160830
LU Geng-Hong, FENG Dong-Qin. Modeling of Industrial Control Network Situation Awareness With Particle Filtering. ACTA AUTOMATICA SINICA, 2018, 44(8): 1405-1412. doi: 10.16383/j.aas.2017.c160830
Citation: LU Geng-Hong, FENG Dong-Qin. Modeling of Industrial Control Network Situation Awareness With Particle Filtering. ACTA AUTOMATICA SINICA, 2018, 44(8): 1405-1412. doi: 10.16383/j.aas.2017.c160830

基于粒子滤波的工业控制网络态势感知建模

doi: 10.16383/j.aas.2017.c160830
基金项目: 

国家自然科学基金 61433006

详细信息
    作者简介:

    陆耿虹 浙江大学智能系统与控制研究所博士研究生.主要研究方向为工业控制系统网络安全态势感知.E-mail:olivialu@zju.edu.cn

    通讯作者:

    冯冬芹 浙江大学工业控制技术国家重点实验室和浙江大学智能系统与控制研究所教授.主要研究方向为现场总线, 实时以太网, 工业无线通信技术, 工业控制系统安全以及网络控制系统的研发与标准化工作.本文通信作者.E-mail:dongqinfeng@zju.edu.cn

Modeling of Industrial Control Network Situation Awareness With Particle Filtering

Funds: 

National Natural Science Foundation of China 61433006

More Information
    Author Bio:

    Ph.D. candidate at the Institute of Cyber-Systems and Control, Zhejiang University. Her research interest covers industrial control system network security situation awareness

    Corresponding author: FENG Dong-Qin Professor at the State Key Laboratory of Industrial Control Technology, Institute of Cyber-Systems and Control, Zhejiang University. His research interest covers field bus, real-time ethernet, industrial wireless communication technology, security of industrial control system, and network control system. Corresponding author of this paper
  • 摘要: 粒子滤波(Particle filtering,PF)算法能有效地对工控系统这一类非线性、非高斯噪声系统进行状态估计,但在实际采用经典粒子滤波状态估计检测攻击时,实验结果显示该方法存在很高的漏检率,无法保障系统安全.因此改进经典算法,提出了基于粒子滤波输入估计的态势理解算法.该算法在考虑系统输入与输出关系的同时,结合蒙特卡洛思想,提取工控系统态势特征,计算态势指标,最终实现态势理解.实验结果表明,该算法能有效地感知持续性攻击,并判断系统态势.
    1)  本文责任编委高会军
  • 图  1  态势感知模型

    Fig.  1  Situation awareness model

    图  2  PLC系统示意图

    Fig.  2  A diagram of PLC implementation

    图  3  工控网络态势感知模型

    Fig.  3  Industrial control network situation\\ awareness model

    图  4  提馏段温度单回路控制方案

    Fig.  4  Temperature single loop control scheme of distillation

    图  5  提馏段温度单回路控制系统方框图

    Fig.  5  Block diagram of temperature single loop control scheme of distillation

    图  6  三种不同态势情况

    Fig.  6  The three different situations

    图  7  PF状态估计算法仿真结果

    Fig.  7  The simulation results related to PF state estimation algorithm

    图  8  态势理解算法仿真结果

    Fig.  8  The simulation results related to situation awareness algorithm

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出版历程
  • 收稿日期:  2016-12-19
  • 录用日期:  2017-05-22
  • 刊出日期:  2018-08-20

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