A Review of False Data Injection Attacks Against Modern Power Systems

被引:631
作者
Liang, Gaoqi [1 ]
Zhao, Junhua [1 ]
Luo, Fengji [1 ]
Weller, Steven R. [2 ]
Dong, Zhao Yang [3 ]
机构
[1] Univ Newcastle, Ctr Intelligent Elect Networks, Callaghan, NSW 2308, Australia
[2] Univ Newcastle, Sch Elect Engn & Comp Sci, Callaghan, NSW 2308, Australia
[3] Univ Sydney, Sch Elect & Informat Engn, Sydney, NSW 2006, Australia
关键词
Cyber-physical security; false data injection attacks; state estimation; power system; STATE ESTIMATION; DEFENSE; IMPACT;
D O I
10.1109/TSG.2015.2495133
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
With rapid advances in sensor, computer, and communication networks, modern power systems have become complicated cyber-physical systems. Assessing and enhancing cyber-physical system security is, therefore, of utmost importance for the future electricity grid. In a successful false data injection attack (FDIA), an attacker compromises measurements from grid sensors in such a way that undetected errors are introduced into estimates of state variables such as bus voltage angles and magnitudes. In evading detection by commonly employed residue-based bad data detection tests, FDIAs are capable of severely threatening power system security. Since the first published research on FDIAs in 2009, research into FDIA-based cyber-attacks has been extensive. This paper gives a comprehensive review of state-of-the-art in FDIAs against modern power systems. This paper first summarizes the theoretical basis of FDIAs, and then discusses both the physical and the economic impacts of a successful FDIA. This paper presents the basic defense strategies against FDIAs and discusses some potential future research directions in this field.
引用
收藏
页码:1630 / 1638
页数:9
相关论文
共 44 条
  • [1] [Anonymous], 2012, Power Generation, Operation, and Control
  • [2] [Anonymous], IMPACTS BAD DATA PMU
  • [3] [Anonymous], 2012, TIME STAMP ATTACK SM
  • [4] [Anonymous], 2014, THESIS
  • [5] [Anonymous], 2010, Tech. Rep.
  • [6] Identification of vulnerable node clusters against false data injection attack in an AMI based Smart Grid
    Anwar, Adnan
    Mahmood, Abdun Naser
    Tari, Zahir
    [J]. INFORMATION SYSTEMS, 2015, 53 : 201 - 212
  • [7] Baldick R, 2014, PES General Meeting- Conference Exposition, 2014 IEEE, P1, DOI DOI 10.1109/PESGM.2014.6939474
  • [8] Graphical Methods for Defense Against False-Data Injection Attacks on Power System State Estimation
    Bi, Suzhi
    Zhang, Ying Jun
    [J]. IEEE TRANSACTIONS ON SMART GRID, 2014, 5 (03) : 1216 - 1227
  • [9] Bobba R.B., 2010, Preprints of the First Workshop on Secure Control Systems, CPSWEEK, V2010
  • [10] Placement of PMUs to enable bad data detection in state estimation
    Chen, Jian
    Abur, Ali
    [J]. IEEE TRANSACTIONS ON POWER SYSTEMS, 2006, 21 (04) : 1608 - 1615