DocumentCode :
3119326
Title :
A denial-of-service jamming game for remote state monitoring in smart grid
Author :
Li, Husheng ; Lai, Lifeng ; Qiu, Robert C.
Author_Institution :
Dept. of Electr. Eng. & Comput. Sci., Univ. of Tennessee, Knoxville, TN, USA
fYear :
2011
fDate :
23-25 March 2011
Firstpage :
1
Lastpage :
6
Abstract :
Denial-of-service (DoS) attack is a serious threat to the communication networks in smart grid, which may result in severe instability of power systems. A jammer can send strong interference to jam the data transmission if wireless communication systems are used for conveying system state information from a remote sensor to a controller in the wide area system monitoring and control. When being jammed by a jammer, the remote sensor can utilize multiple channels to avoid the jamming interference. Hence, the jamming and anti-jamming are modeled as a zero-sum stochastic game. In this game, the actions of the sensor and jammer are dependent on the current system state. A quadratic function is used as the payoff function, thus facilitating the LQG control of the power system. The Nash equilibrium of the game is analyzed, including the existence and the corresponding computation. Numerical simulations are carried out for a seven-dimensional linear system of power grid and demonstrate the increase of reward when proper anti-jamming actions are taken.
Keywords :
game theory; interference suppression; jamming; power system measurement; power system stability; smart power grids; stochastic processes; telecommunication security; Nash equilibrium; denial-of-service jamming game; jamming interference; payoff function; power system stability; quadratic function; remote sensor; remote state monitoring; smart grid; system state information; wide area system monitoring; wireless communication systems; zero-sum stochastic game; Games; Jamming;
fLanguage :
English
Publisher :
ieee
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
Type :
conf
DOI :
10.1109/CISS.2011.5766137
Filename :
5766137
Link To Document :
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