智能科学与技术学报 ›› 2020, Vol. 2 ›› Issue (1): 53-61.doi: 10.11959/j.issn.2096-6652.202006

• 学术论文 • 上一篇    下一篇

基于逆向云算法模型的工业控制系统工艺稳定性建模与攻击防护

蔺俊豪(),冯冬芹   

  1. 浙江大学控制科学与工程学院,浙江 杭州 310027
  • 修回日期:2020-02-26 出版日期:2020-03-20 发布日期:2020-04-10
  • 作者简介:蔺俊豪(1994- ),男,浙江大学控制科学与工程学院硕士生,主要研究方向为工业控制系统、网络安全与深度学习等|冯冬芹(1968- ),男,浙江大学控制科学与工程学院教授、博士生导师,主要研究方向为工业装备自主安全总线标准与芯片设计以及工控系统网络安全建模、评估和防护

Process stability modeling and attack protection of industrial control system based on reverse cloud algorithm model

Junhao LIN(),Dongqin FENG   

  1. Zhejiang University College of Control Science and Engineering,Hangzhou 310027,China
  • Revised:2020-02-26 Online:2020-03-20 Published:2020-04-10

摘要:

与传统的网络安全防御手段相比,基于工艺流程的工业系统安全防护研究愈发成为工业控制安全领域的重要研究方向。提出一种改进型BC-1stM无确定度逆向云算法,通过对时间序列与工艺流程的正常状态进行建模,实现在工业系统中基于工艺攻击方式的安全防护检测与告警,并采用田纳西伊士曼化工过程平台进行验证。结果表明,该模型在进行攻击行为检测与攻击点检测方面有很高的查准率,提高了工业系统的安全防护能力。

关键词: 工业控制系统, 工艺流程, 正常状态模型, 入侵检测, 逆向云算法

Abstract:

Compared with traditional network security defense methods,industrial system security protection research based on process flow has become an important research direction in the field of industrial security.An improved backward cloud algorithm based on first order absolute central moment (BC-1stM) non-deterministic reverse cloud method was proposed,which was modeled by the time series and the normal state of the process flow.The security protection detection and alarm based on the process attack mode in the industrial system was realized,and Tennessee Eastman chemical process platform was adopted to validate the algorithm.The results show that the model had a high precision in the detection of attack behavior and detection of attack points,and improved the security protection capability of industrial systems.

Key words: industrial control system, process flow, steady state model, intrusion detection, reverse cloud algorithm

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