Title
Enhanced Protection Against False Data Injection By Dynamically Changing Information Structure Of Microgrids
Abstract
For a power grid, false data injection attacks attempt to exploit the configuration and information structure of the power system, introduce erroneous but conforming values into certain state variables, and evade the existing detection techniques based on residual testing, leading to severe security threat to the overall system. Accordingly, an enhanced method of evading false data injection in power grids is proposed. Since the power system can typically be partitioned into a group of microgrids the proposed approach shows that the microgrids (i.e., their boundaries and information sharing structures) are dynamically reconfigured, which makes it impossible to organize a synchronized data injection that exploits a fixed configuration and coordinately attacks certain meters in the configuration. Examples are used to demonstrate the effectiveness of the proposed scheme. © 2012 IEEE.
Publication Date
10-12-2012
Publication Title
Proceedings of the IEEE Sensor Array and Multichannel Signal Processing Workshop
Number of Pages
393-396
Document Type
Article; Proceedings Paper
Personal Identifier
scopus
DOI Link
https://doi.org/10.1109/SAM.2012.6250520
Copyright Status
Unknown
Socpus ID
84867194408 (Scopus)
Source API URL
https://api.elsevier.com/content/abstract/scopus_id/84867194408
STARS Citation
Talebi, Morteza; Li, Chaoyong; and Qu, Zhihua, "Enhanced Protection Against False Data Injection By Dynamically Changing Information Structure Of Microgrids" (2012). Scopus Export 2010-2014. 4648.
https://stars.library.ucf.edu/scopus2010/4648