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False Data Injection on State Estimation in Power Systems - Attacks, Impacts, and Defense: a survey
Department of Electrical and Computer Engineering, University of Alberta, Edmonton.
School of Electrical and Electronic Engineering, Nanyang Technological University, Singapore.
Faculty of Computer Science, University of New Brunswick,.
Department of Electrical and Computer Engineering, University of Alberta, Edmonton.
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Number of Authors: 5
2016 (English)In: IEEE Transactions on Industrial Informatics, ISSN 1551-3203, E-ISSN 1941-0050Article in journal (Refereed) Epub ahead of print
Abstract [en]

The accurately estimated state is of great importance for maintaining a stable running condition of power systems. To maintain the accuracy of the estimated state, bad data detection (BDD) is utilized by power systems to get rid of erroneous measurements due to meter failures or outside attacks. However, false data injection (FDI) attacks, as recently revealed, can circumvent BDD and insert any bias into the value of the estimated state. Continuous works on constructing and/or protecting power systems from such attacks have been done in recent years. This survey comprehensively overviews three major aspects: 1) constructing FDI attacks; 2) impacts of FDI attacks on electricity market; and 3) defending against FDI attacks. Specifically, we first explore the problem of constructing FDI attacks, and further show their associated impacts on electricity market operations, from the adversary’s point of view. Then, from the perspective of the system operator, we present countermeasures against FDI attacks. We also outline the future research directions and potential challenges based on the above overview, in the context of FDI attacks, impacts, and defense. 

Place, publisher, year, edition, pages
2016.
National Category
Media and Communication Technology
Research subject
Mobile and Pervasive Computing
Identifiers
URN: urn:nbn:se:ltu:diva-60537DOI: 10.1109/TII.2016.2614396OAI: oai:DiVA.org:ltu-60537DiVA: diva2:1047672
Available from: 2016-11-18 Created: 2016-11-18 Last updated: 2016-12-05

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Vasilakos, Athanasios
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