TitleBad Data Injection Attack and Defense in Electricity Market Using Game Theory Study
AuthorsEsmalifalak, Mohammad
Shi, Ge
Han, Zhu
Song, Lingyang
AffiliationUniv Houston, ECE Dept, Houston, TX 77004 USA.
Peking Univ, Sch Elect Engn & Comp Sci, Beijing 100871, Peoples R China.
KeywordsSMART
Issue Date2013
Publisherieee transactions on smart grid
CitationIEEE TRANSACTIONS ON SMART GRID.2013,4,(1),160-169.
AbstractApplications 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.
URIhttp://hdl.handle.net/20.500.11897/225310
ISSN1949-3053
DOI10.1109/TSG.2012.2224391
IndexedSCI(E)
EI
Appears in Collections:信息科学技术学院

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