Title :
Defending false data injection attack on smart grid network using adaptive CUSUM test
Author :
Huang, Yi ; Li, Husheng ; Campbell, Kristy A. ; Han, Zhu
Author_Institution :
ECE Dept., Univ. of Houston, Houston, TX, USA
Abstract :
In modern smart grid networks, the traditional power grid is enabled by the technological advances in sensing, measurement, and control devices with two-way communications between the suppliers and customers. The smart grid integration helps the power grid networks to be smarter, but it also increases the risk of adversaries because of the currently obsoleted cyber-infrastructure. Adversaries can easily paralyzes the power facility by misleading the energy management system with injecting false data. In this paper, we proposes a defense strategy to the malicious data injection attack for smart grid state estimation at the control center. The proposed “adaptive CUSUM algorithm”, is recursive in nature, and each recursion comprises two inter-leaved stages: Stage 1 introduces the linear unknown parameter solver technique, and Stage 2 applies the multi-thread CUSUM algorithm for quickest change detection. The proposed scheme is able to determine the possible existence of adversary at the control center as quickly as possible without violating the given constraints such as a certain level of detection accuracy and false alarm. The performance of the proposed algorithm is evaluated by both mathematic analysis and numerical simulation.
Keywords :
control facilities; energy management systems; mathematical analysis; numerical analysis; power system security; power system state estimation; smart power grids; statistical analysis; adaptive CUSUM test; control center; energy management system; false alarm; false data injection attack; malicious data injection attack; mathematic analysis; multithread CUSUM algorithm; numerical simulation; power facility; smart grid integration; smart grid state estimation; smart power grid network; two-way communication; Algorithm design and analysis; Boolean functions; Companies; Data structures; Smart grids;
Conference_Titel :
Information Sciences and Systems (CISS), 2011 45th Annual Conference on
Conference_Location :
Baltimore, MD
Print_ISBN :
978-1-4244-9846-8
Electronic_ISBN :
978-1-4244-9847-5
DOI :
10.1109/CISS.2011.5766111