Approximate Power Grid Protection Against False Data Injection Attacks
Keywords
Fault Data Injection; Power Grid Security
Abstract
A family of new attacks have been found against power grid systems recently which are capable of affecting power grids without being detectable via conventional means. Though powerful, the attacks rely on the attacker having complete knowledge of the power grid system. This work will evaluate the power grid resiliency countering such attacks when an attacker does not have such complete knowledge. More specifically, this paper examines the rerouting that already commonly occurs in power systems as an inherent defense against this particular class of attacks by increasing the power grid topology complexity. An algorithm is developed to calculate the probability of a successful attack given a particular topology and configuration of circuit breakers. The experimental results demonstrate that the existence of defense circuit breakers in a power grid system can lead to substantial improvements in security.
Publication Date
3-29-2018
Publication Title
Proceedings - 2017 IEEE 15th International Conference on Dependable, Autonomic and Secure Computing, 2017 IEEE 15th International Conference on Pervasive Intelligence and Computing, 2017 IEEE 3rd International Conference on Big Data Intelligence and Computing and 2017 IEEE Cyber Science and Technology Congress, DASC-PICom-DataCom-CyberSciTec 2017
Volume
2018-January
Number of Pages
1-7
Document Type
Article; Proceedings Paper
Personal Identifier
scopus
DOI Link
https://doi.org/10.1109/DASC-PICom-DataCom-CyberSciTec.2017.97
Copyright Status
Unknown
Socpus ID
85048085447 (Scopus)
Source API URL
https://api.elsevier.com/content/abstract/scopus_id/85048085447
STARS Citation
Ly, Kelvin; Kwiat, Kevin; Kamhoua, Charles; Njilla, Laurent; and Jin, Yier, "Approximate Power Grid Protection Against False Data Injection Attacks" (2018). Scopus Export 2015-2019. 7585.
https://stars.library.ucf.edu/scopus2015/7585