Local Cyber-Physical Attack for Masking Line Outage and Topology Attack in Smart Grid

被引:69
|
作者
Chung, Hwei-Ming [1 ,2 ]
Li, Wen-Tai [1 ]
Yuen, Chau [1 ]
Chung, Wei-Ho [3 ,4 ]
Zhang, Yan [2 ]
Wen, Chao-Kai [5 ]
机构
[1] Singapore Univ Technol & Design, Dept Engn Prod Dev, Singapore 487372, Singapore
[2] Univ Oslo, Dept Informat, N-0373 Oslo, Norway
[3] Natl Tsing Hua Univ, Dept Elect Engn, Hsinchu 300, Taiwan
[4] Natl Chiao Tung Univ, Ctr MmWave Smart Radar Syst & Technol, Hsinchu 300, Taiwan
[5] Natl Sun Yat Sen Univ, Inst Commun Engn, Kaohsiung 804, Taiwan
关键词
Cyber-physical system; joint attacks; smart grid; power line outages; power flow; DATA INJECTION ATTACKS; POWER-SYSTEMS; IDENTIFICATION; SECURITY;
D O I
10.1109/TSG.2018.2865316
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
Malicious attacks in the power system can eventually result in a large-scale cascade failure if not rectified in a timely manner. These attacks, which are traditionally classified into physical and cyber attacks, can be avoided by using the latest advanced detection mechanisms. However, a new threat called cyber-physical attacks jointly targets both the physical and cyber layers of the system to interfere with the operations of the power grid is more malicious than traditional attacks. In this paper, we propose a new cyber-physical attack strategy where the transmission line is first physically disconnected, the line-outage event is masked to mislead the control center into detecting this as an obvious line outage at a different position in the local area of the power system. Therefore, the topology information in the control center is interfered with as a result of our attack. We also propose a novel procedure for selecting vulnerable lines and analyze the observability of our proposed framework. Our proposed method can effectively and continuously deceive the control center into detecting fake line-outage positions, and thereby increase the chance of cascade failure because the attention is given to the fake outage. The simulation results validate the efficiency of our proposed attack strategy.
引用
收藏
页码:4577 / 4588
页数:12
相关论文
共 50 条
  • [41] Cyber-Physical Security of a Smart Grid Infrastructure
    Mo, Yilin
    Kim, Tiffany Hyun-Jin
    Brancik, Kenneth
    Dickinson, Dona
    Lee, Heejo
    Perrig, Adrian
    Sinopoli, Bruno
    PROCEEDINGS OF THE IEEE, 2012, 100 (01) : 195 - 209
  • [42] On the Performance Analysis of Reset Attack in Cyber-Physical Systems
    Ni, Yuqing
    Guo, Ziyang
    Mo, Yilin
    Shi, Ling
    IEEE TRANSACTIONS ON AUTOMATIC CONTROL, 2020, 65 (01) : 419 - 425
  • [43] Cyber Protection for Malware Attack Resistance in Cyber-Physical Power Systems
    Xu, Sheng
    Xia, Yongxiang
    Shen, Hui-Liang
    IEEE SYSTEMS JOURNAL, 2022, 16 (04): : 5337 - 5345
  • [44] A novel data-driven time-delay attack evaluation method for wide-area cyber-physical smart grid systems
    Zhang, Guangdou
    Li, Jian
    Bamisile, Olusola
    Cai, Dongsheng
    Huang, Qi
    SUSTAINABLE ENERGY GRIDS & NETWORKS, 2022, 32
  • [45] Performance and Resilience of Cyber-Physical Control Systems With Reactive Attack Mitigation
    Lakshminarayana, Subhash
    Karachiwala, Jabir Shabbir
    Teng, Teo Zhan
    Tan, Rui
    Yau, David K. Y.
    IEEE TRANSACTIONS ON SMART GRID, 2019, 10 (06) : 6640 - 6654
  • [46] Optimal attack strategy selection of an autonomous cyber-physical micro-grid based on attack-defense game model
    Xiao-Peng Ji
    Wen Tian
    Weiwei Liu
    Guangjie Liu
    Journal of Ambient Intelligence and Humanized Computing, 2021, 12 : 8859 - 8866
  • [47] Markov game based on reinforcement learning solution against cyber-physical attacks in smart grid
    Bitirgen, Kuebra
    Filik, uemmuehan Basaran
    EXPERT SYSTEMS WITH APPLICATIONS, 2024, 255
  • [48] Adaptive robust FDI attack detection for cyber-physical systems with disturbance
    Li, Lu
    Chen, Yong
    Li, Meng
    Liu, Yuezhi
    ICT EXPRESS, 2023, 9 (04): : 656 - 663
  • [49] A survey on attack detection, estimation and control of industrial cyber-physical systems
    Zhang, Dan
    Wang, Qing-Guo
    Feng, Gang
    Shi, Yang
    Vasilakos, Athanasios V.
    ISA TRANSACTIONS, 2021, 116 : 1 - 16
  • [50] A Survey of Physics-Based Attack Detection in Cyber-Physical Systems
    Giraldo, Jairo
    Urbina, David
    Cardenas, Alvaro
    Valente, Junia
    Faisal, Mustafa
    Ruths, Justin
    Tippenhauer, Nils Ole
    Sandberg, Henrik
    Candell, Richard
    ACM COMPUTING SURVEYS, 2018, 51 (04)