Zero-dynamics attacks on networked control systems

被引:7
|
作者
Pasha, Syed Ahmed [1 ]
Ayub, Ayesha [2 ]
机构
[1] Air Univ, Dept Elect & Comp Engn, Islamabad 44000, Pakistan
[2] NUST, Elect Engn & Comp Sci, Islamabad 44000, Pakistan
关键词
Zero-dynamics attack; False data injection; Geometric control; Networked control system; Cyberphysical system; STUXNET;
D O I
10.1016/j.jprocont.2021.07.010
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
The coupling of physical systems with information technologies infrastructure in a networked control system (NCS) has a number of advantages such as remote control, reduced system complexity, low maintenance cost and improved system efficiency. But these benefits come at the cost of making the NCS vulnerable to cyberphysical attacks on the communication layer. One such class of attacks is the zero-dynamics attack (ZDA) which targets the internal dynamics of an NCS with the potential to cause serious damage to the physical system while remaining stealthy. A better understanding of how ZDAs are constructed will enable more effective countermeasures. In this paper, we discuss two approaches for constructing a ZDA and demonstrate using three industrial processes studied in this context perhaps for the first time. (C) 2021 Elsevier Ltd. All rights reserved.
引用
收藏
页码:99 / 107
页数:9
相关论文
共 50 条
  • [1] Detectability of Intermittent Zero-Dynamics Attack in Networked Control Systems
    Mao, Yanbing
    Jafarnejadsani, Hamidreza
    Zhao, Pan
    Akyol, Emrah
    Hovakimyan, Naira
    [J]. 2019 IEEE 58TH CONFERENCE ON DECISION AND CONTROL (CDC), 2019, : 5605 - 5610
  • [2] Zero-Dynamics Attacks for Multi-Agent Systems Without Velocity Measurements
    Gao, Jinming
    Wang, Yijing
    Zuo, Zhiqiang
    Zhang, Wentao
    [J]. JOURNAL OF SYSTEMS SCIENCE & COMPLEXITY, 2024, 37 (05) : 1809 - 1831
  • [3] Reinforcement Learning Approach to Generate Zero-Dynamics Attacks on Control Systems Without State Space Models
    Paudel, Bipin
    Amariucai, George
    [J]. COMPUTER SECURITY - ESORICS 2023, PT IV, 2024, 14347 : 3 - 22
  • [4] Effects of Quantization on Zero-Dynamics Attacks to Closed-loop Sampled-data Control Systems
    Kang, Xile
    Ishii, Hideaki
    [J]. 2023 62ND IEEE CONFERENCE ON DECISION AND CONTROL, CDC, 2023, : 846 - 851
  • [5] Zero-Dynamics Attacks for Multi-Agent Systems Without Velocity Measurements
    GAO Jinming
    WANG Yijing
    ZUO Zhiqiang
    ZHANG Wentao
    [J]. Journal of Systems Science & Complexity., 2024, 37 (05) - 1831
  • [6] A Novel Defense Strategy Against Zero-Dynamics Attacks in Multi-Agent Systems
    Mao, Yanbing
    Akyol, Emrah
    Zhang, Ziang
    [J]. 2019 IEEE 58TH CONFERENCE ON DECISION AND CONTROL (CDC), 2019, : 3563 - 3568
  • [7] NONLINEAR ZERO-DYNAMICS ATTACKS TARGETING NUCLEAR POWER PLANTS
    Farber, Jacob A.
    Cole, Daniel G.
    [J]. PROCEEDINGS OF THE ASME DYNAMIC SYSTEMS AND CONTROL CONFERENCE, DSCC2020, VOL 1, 2020,
  • [8] Zero-Dynamics Attacks for Continue-Time Second-Order Multi-Agent Systems
    Wang, Yijing
    Gao, Jinming
    Zuo, Zhiqiang
    [J]. 2022 41ST CHINESE CONTROL CONFERENCE (CCC), 2022, : 4808 - 4813
  • [9] Passivity Based Control of Cyber Physical Systems Under Zero-Dynamics Attack
    Hassan, Fawad
    Iqbal, Naeem
    Martinez-Alvarez, Francisco
    Asim, Khawaja M.
    [J]. HYBRID ARTIFICIAL INTELLIGENT SYSTEMS, 2016, 9648 : 634 - 646
  • [10] Adaptive stabilization for a class of feedforward systems with zero-dynamics
    Fang Shang
    Yungang Liu
    Guiqing Zhang
    [J]. Journal of Systems Science and Complexity, 2015, 28 : 305 - 315