基于模型的工业过程控制系统假数据注入攻击识别方法设计

Design of a Model-Based Method for Identifying Fake Data Injection Attacks in Industrial Process Control Systems

随着国家两化融合的不断推进,网络安全问题也日益突出。在控制系统闭环辨识基础上,设计了一种基于模型的工业过程控制系统假数据注入攻击识别方法。该方法能够结合工业过程控制系统特点,通过在线闭环辨识过程模型,更加准确清晰地对系统中存在的攻击信号进行监测和识别。仿真结果证明,提出的方法可识别假数据注入攻击的具体类型,具有较高的准确性。

With the continuous advancement of the fusion of national informatization and industrialization,network security has become an increasingly prominent issue.Based on the identification of closed loop model of the control system,a modelbased attack recognition method for fake data injection attack in industrial process control system is designed in this paper.This method can accurately monitor the abnormal signals exist in the system and identify the certain type of fake data injection attacks with the help of on-line model identification.The simulation results demonstrate that this method can effectively identify the specific type of fake data injection with high accuracy.