DocumentCode :
10568
Title :
Bad Data Injection Attack and Defense in Electricity Market Using Game Theory Study
Author :
Esmalifalak, Mohammad ; Ge Shi ; Zhu Han ; Lingyang Song
Author_Institution :
ECE Dept., Univ. of Houston, Houston, TX, USA
Volume :
4
Issue :
1
fYear :
2013
fDate :
Mar-13
Firstpage :
160
Lastpage :
169
Abstract :
Applications of cyber technologies improve the quality of monitoring and decision making in smart grid. These cyber technologies are vulnerable to malicious attacks, and compromising them can have serious technical and economical problems. This paper specifies the effect of compromising each measurement on the price of electricity, so that the attacker is able to change the prices in the desired direction (increasing or decreasing). Attacking and defending all measurements are impossible for the attacker and defender, respectively. This situation is modeled as a zero-sum game between the attacker and defender. The game defines the proportion of times that the attacker and defender like to attack and defend different measurements, respectively. From the simulation results based on the PJM 5-Bus test system, we can show the effectiveness and properties of the studied game.
Keywords :
game theory; power engineering computing; power markets; power system security; pricing; security of data; smart power grids; PJM 5-bus test system; bad data injection attack-and-defense; cyber technologies; decision making; economical problem; electricity market; electricity price; game theory; malicious attacks; monitoring quality; smart grid; technical problem; zero-sum game; Electricity; Game theory; Games; Real-time systems; Smart grids; Transmission line measurements; Vectors; ;
fLanguage :
English
Journal_Title :
Smart Grid, IEEE Transactions on
Publisher :
ieee
ISSN :
1949-3053
Type :
jour
DOI :
10.1109/TSG.2012.2224391
Filename :
6410468
Link To Document :
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