Decision and Game Theory for Security: 5th International by Radha Poovendran, Walid Saad

By Radha Poovendran, Walid Saad

This ebook constitutes the refereed lawsuits of the fifth overseas convention on determination and online game conception for protection, GameSec 2014, held in l. a., CA, united states, in November 2014.

The sixteen revised complete papers provided including 7 brief papers have been rigorously reviewed and chosen from quite a few submissions. The coated subject matters hide a number of features of cyber defense that come with: rationality of adversary, game-theoretic cryptographic ideas, vulnerability discovery and evaluation, multi-goal protection research, safe computation, economic-oriented safety, and surveillance for safeguard. these elements are lined in a large number of domain names that come with networked platforms, instant communications, border patrol defense, and keep an eye on systems.

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Extra resources for Decision and Game Theory for Security: 5th International Conference, GameSec 2014, Los Angeles, CA, USA, November 6-7, 2014. Proceedings

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Tambe of defender patrol strategies in both simulations and human subject experiments [15,19,18,13]. Behavioral models allow for the relaxation of the one of the strongest assumptions in classical game theory: namely, that the adversary is a perfectly rational utility maximizer. Instead, behavioral models, such as the quantal response (QR) model [11] and the subjective utility quantal response (SUQR) model [13], feature stochasticity in human decision making. These models are able to better predict the actions of real human adversaries and thus lead the defender to choose strategies that perform better in practice.

B. Haskell, and M. Tambe 7. : Monotonic maximin: A robust stackelberg solution against boundedly rational followers. , Kantarcioglu, M. ) GameSec 2013. LNCS, vol. 8252, pp. 119–139. Springer, Heidelberg (2013) 8. : Optimizing active cyber defense. , Kantarcioglu, M. ) GameSec 2013. LNCS, vol. 8252, pp. 206–225. Springer, Heidelberg (2013) 9. : Game theory meets network security and privacy. ACM Computing Surveys (CSUR) 45(3), 25 (2013) 10. : Quantal response equilibria for normal form games. Games and Economic Behavior 2, 6–38 (1995) 11.

Second, we show how to iteratively improve this approximation via a network flow problem: to that end Problem (6) - (14) is used to add new constraints to the relaxed version of the problem, and column generation is used in service of solving Problem (6) (14) which then uses the network flow representation. Our network flow problem Addressing Scalability and Robustness in Security Games 31 differs substantially from earlier work, which focused on aviation security and environmental crime, because of the generality of our formulation.

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