引用本文格式: 蒲在毅,张咏梅,贾艳梅. 基于主动弹性防御策略的网络控制系统零动态攻击检测 [J]. 四川大学学报: 自然科学版, 2020, 57: 879~886.
 
基于主动弹性防御策略的网络控制系统零动态攻击检测
Zero Dynamic Attack Control of Networked Control Systems Based on Ac-tive Elastic Defense Strategy
摘要点击 270  全文点击 31  投稿时间:2019-05-02  修订日期:2019-09-10
查看全文  查看/发表评论  下载PDF阅读器
DOI编号   
中文关键词   弹性防御  网络控制系统  零动态  攻击控制  卡尔曼滤波
英文关键词   resilient defense  networked control system  zero dynamics  attack control  Kalman filter
基金项目   西华师范大学英才基金(17YC497)
作者单位E-mail
蒲在毅 西华师范大学 南充 637009 puzaiyi@qq.com 
张咏梅 西华师范大学 南充 637009  
贾艳梅 西华师范大学 南充 637009  
Author NameAffiliationE-mail
PU Zai-Yi Network and Intormation Management Center,China West Normal University puzaiyi@qq.com 
ZHANG Yong-Mei China West Normal University, Nanchong 637009, China  
JIA Yan-Mei China West Normal University, Nanchong 637009, China  
中文摘要
    研究了一种适用于零动态攻击的网络控制系统(NCSs)的弹性控制策略,基于控制输入和测量数据设计的隐式虚假数据注入攻击.当网络化控制系统的控制信号受到网络攻击时,根据被动模型的故障检测和隔离方案,发现在攻击过程中,对设备状态变量的零动态攻击的结果是不可检测的,但在攻击结束后会变得明显.对此,利用广义似然比检测器的主动版本给出的信息在线更新卡尔曼滤波器,设计了一种具有快速恢复攻击端后闭环系统行为能力的弹性线性二次高斯控制器.实验结果显示,所提算法明显具有更高的攻击检测质量,并具有更佳的计算效率和内存利用效率,验证了算法有效性.
英文摘要
    In this paper, an elastic control strategy for network control systems (NCSs) with zero dynamic attacks is studied,in which an implicit false data injection attack is designed based on input control and data measurement. When the control signal of networked control system is attacked by network, according to the fault detection and isolation scheme of passive model, it is found that the result of zero dynamic attack on device state variables is undetectable during the attack process, but it will become obvious after the attack. To solve this problem, an Elastic Linear Quadratic Gauss Controller (ELQGC) with the ability to quickly recover the behavior of the closed loop system at the attack end is designed by using the information provided by the active version of the Generalized Likelihood Ratio Detector (GLR) to update the Kalman filter online. The experimental results show that the proposed algorithm has significantly higher attack detection quality, better computational efficiency and memory utilization efficiency, which demonstrate the effectiveness of the algorithm.

您是第 Guest 位访问者

版权所有 @ 2007《四川大学学报 (自然科学版)》编辑部
地址: 四川省成都市武侯区四川大学望江校区文科楼330至342室  邮编: 610064
电话: (028)85410393  传真: (028)85410393  E-mail: scdx@scu.edu.cn
本系统由北京勤云科技发展有限公司设计