DocumentCode
184551
Title
A three-stage Colonel Blotto game with applications to cyberphysical security
Author
Gupta, Arpan ; Schwartz, Galina A. ; Langbort, Cedric ; Sastry, S. Shankar ; Basar, Tamer
Author_Institution
Coordinated Sci. Lab., Univ. of Illinois at Urbana-Champaign, Urbana, IL, USA
fYear
2014
fDate
4-6 June 2014
Firstpage
3820
Lastpage
3825
Abstract
We consider a three-step three-player complete information Colonel Blotto game in this paper, in which the first two players fight against a common adversary. Each player is endowed with a certain amount of resources at the beginning of the game, and the number of battlefields on which a player and the adversary fights is specified. The first two players are allowed to form a coalition if it improves their payoffs. In the first stage, the first two players may add battlefields and incur costs. In the second stage, the first two players may transfer resources among each other. The adversary observes this transfer, and decides on the allocation of its resources to the two battles with the players. At the third step, the adversary and the other two players fight on the updated number of battlefields and receive payoffs. We characterize the subgame-perfect Nash equilibrium (SPNE) of the game in various parameter regions. In particular, we show that there are certain parameter regions in which if the players act according to the SPNE strategies, then (i) one of the first two players add battlefields and transfer resources to the other player (a coalition is formed), (ii) there is no addition of battlefields and no transfer of resources (no coalition is formed). We discuss the implications of the results on resource allocation for securing cyberphysical systems.
Keywords
game theory; security; SPNE; adversary fights; battlefields; cyberphysical security; resource allocation; subgame-perfect Nash equilibrium; three-stage Colonel Blotto game; three-step three-player complete information Colonel Blotto game; Computer hacking; Educational institutions; Games; Nash equilibrium; Resource management; Servers; Intelligent systems; Optimization; Stochastic systems;
fLanguage
English
Publisher
ieee
Conference_Titel
American Control Conference (ACC), 2014
Conference_Location
Portland, OR
ISSN
0743-1619
Print_ISBN
978-1-4799-3272-6
Type
conf
DOI
10.1109/ACC.2014.6859164
Filename
6859164
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