A Review of False Data Injection Attacks Against Modern Power Systems

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 a...

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Bibliographic Details
Published in:IEEE transactions on smart grid 2017-07, Vol.8 (4), p.1630-1638
Main Authors: Gaoqi Liang, Junhua Zhao, Fengji Luo, Weller, Steven R., Zhao Yang Dong
Format: Article
Language:English
Subjects:
Communication networks
Computational modeling
Cyber-physical security
Cyber-physical systems
Cybersecurity
Data buses
Economic impact
Economics
Electric potential
Electric power systems
Electricity
Electricity distribution
Estimates
false data injection attacks
Power measurement
power system
Power systems
Security
Sensors
State estimation
State-of-the-art reviews
Voltage measurement
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Summary: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.
ISSN:1949-3053
1949-3061
DOI:10.1109/TSG.2015.2495133