An Overview of False Data Injection Attack Against Cyber-Physical Power Systems
Keywords:
Cyber-physical system, Smart grid, State estimation, Bad data detection, False data injection attackAbstract
With the advancement of technology, cyber-physical systems (CPSs) are constantly being upgraded, and it resulted in more types of cyber-attacks being discovered. There are many forms of cyber-attack, and all cyber-attacks are made to manipulate the target systems. A representative system among CPSs is a cyber-physical power system (CPPS), that is, a smart grid. Smart grid is a new type of power system that provides reliable, safe, and efficient energy transmission and distribution. This paper discusses false data injection attacks targeting state estimation and energy distribution in the smart grid, along with protective strategies and dynamic monitoring for detection.
References
Son S, Park T, Won M, 2014, An Overview of Cyber Physical Systems. Telecommunications Review, 24(4): 450–459. https://www.doi.org/10.1007/978-3-030-43494-6_1
Liu Y, Ning P, Reiter MK, 2009, False Data Injection Attacks against State Estimation in Electric Power Grids. ACM Transactions on Information and System Security, 14(1): 13. https://www.doi.org/10.1145/1952982.1952995
Liang G, Zhao J, Luo F, et al., 2017, A Review of False Data Injection Attacks against Modern Power Systems. IEEE Trans. Smart Grid, 8(4): 1630–1638. https://www.doi.org/10.1109/TSG.2015.2495133
Wang Q, Tai W, Tang Y, et al., 2018, Review of the False Data Injection Attack Against the Cyber-Physical Power System. IET Cyber-Physical Systems: Theory & Applications, 4(2): 101–107, https://www.doi.org/10.1109/TSG.2015.2495133
Abur A, Exposito AG, 2004, Power System State Estimation: Theory and Implementation, CRC Press.
Monticelli A, 1999, State Estimation in Electric Power Systems: A Generalized Approach, Springer.
Kosut O, Jia L, Thomas R, et al., 2010, Limiting False Data Attacks on Power System State Estimation. Proceedings of the 44th Annual Conf. Information Sciences and Systems.
Dan G, Sandberg H, 2010, Stealth Attacks and Protection Schemes for State Estimators in Power Systems. Proceedings of the IEEE Conf. Smart Grid Comm, 214–219.
Kosut O, Jia L, Thomas R, et al., 2011, Malicious Data Attacks on the Smart Grid. IEEE Trans. Smart Grid, 2(4): 645–658, https://www.doi.org/10.1109/TSG.2011.2163807
Teixeira A, Amin S, Sandberg H, et al., 2010, Cyber Security Analysis of State Estimators in Electric Power Systems. Proceedings of the 49th IEEE Conference on Decision and Control, 5991–5998.
Kim TT, Poor HV, 2011, Strategic Protection Against Data Injection Attacks on Power Grids. IEEE Trans. Smart Grid, 2(2): 326–333. https://www.doi.org/10.1109/TSG.2011.2119336
Rigatos G, Serpanos D, Zervos N, 2017, Detection of Attacks Against Power Grid Sensors Using Kalman Filter and Statistical Decision Making. IEEE Sensors Journal, 17(23): 7641–7648. https://www.doi.org/10.1109/JSEN.2017.2661247
Rawat DB, Bajracharya C, 2015, Detection of False Data Injection Attacks in Smart Grid Communication Systems. IEEE Signal Processing Letters, 22(10): 1652–1656. https://www.doi.org/10.1109/MCOM.2015.7045410
Sargolzaei A, Yazdani K, Abbaspour A, et al., 2020, Detection and Mitigation of False Data Injection Attacks in Networked Control Systems. IEEE Trans. Industrial Informatics, 16(6): 4281–4292. https://www.doi.org/10.1109/IISR.2018.8535978
