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Impacts of Game-Theoretic and Behavi...

Hota, Ashish Ranjan.

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Impacts of Game-Theoretic and Behavioral Decision-Making on the Robustness and Security of Shared Systems and Networks.

Record Type:	Electronic resources : Monograph/item
Title/Author:	Impacts of Game-Theoretic and Behavioral Decision-Making on the Robustness and Security of Shared Systems and Networks./
Author:	Hota, Ashish Ranjan.
Published:	Ann Arbor : ProQuest Dissertations & Theses, : 2017,
Description:	244 p.
Notes:	Source: Dissertation Abstracts International, Volume: 79-03(E), Section: B.
Contained By:	Dissertation Abstracts International79-03B(E).
Subject:	Electrical engineering. -
Online resource:	http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=10606112
ISBN:	9780355255881

Impacts of Game-Theoretic and Behavioral Decision-Making on the Robustness and Security of Shared Systems and Networks.
Hota, Ashish Ranjan.

Impacts of Game-Theoretic and Behavioral Decision-Making on the Robustness and Security of Shared Systems and Networks. - Ann Arbor : ProQuest Dissertations & Theses, 2017 - 244 p.

Source: Dissertation Abstracts International, Volume: 79-03(E), Section: B.

Thesis (Ph.D.)--Purdue University, 2017.

We investigate the impacts of game-theoretic and behavioral decision-making in two broad classes of problems: i) resource sharing games, and ii) network security games.

ISBN: 9780355255881Subjects--Topical Terms:

649834
Electrical engineering.

Impacts of Game-Theoretic and Behavioral Decision-Making on the Robustness and Security of Shared Systems and Networks.
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100 1 $a Hota, Ashish Ranjan. $3 3344200
245 1 0 $a Impacts of Game-Theoretic and Behavioral Decision-Making on the Robustness and Security of Shared Systems and Networks.
260 1 $a Ann Arbor : $b ProQuest Dissertations & Theses, $c 2017
300 $a 244 p.
500 $a Source: Dissertation Abstracts International, Volume: 79-03(E), Section: B.
500 $a Adviser: Shreyas Sundaram.
502 $a Thesis (Ph.D.)--Purdue University, 2017.
520 $a We investigate the impacts of game-theoretic and behavioral decision-making in two broad classes of problems: i) resource sharing games, and ii) network security games.
520 $a In the first part of the thesis, we consider a set of decision-makers or players who choose their levels of utilization of a shared resource. The return from the resource depends on the utilization by all players, and the resource is prone to failure due to overutilization. This problem has been studied in a multitude of disciplines, including engineering (to model congestion in transportation and communication networks) and economics (to model competition over open-access natural resources). We provide a mathematically rigorous characterization of the Nash equilibrium when the players have behavioral risk preferences. Specifically, we model the risk preferences of the players according to prospect theory, a widely accepted and empirically grounded behavioral model of human decision-making under risk and uncertainty. Our analysis quantifies the increase in resource utilization and failure probability at equilibrium due to higher competition and heterogeneity in the risk preferences of the players for a broad class of resource characteristics. We then investigate how behavioral players respond to economic incentives such as taxes imposed by a central planner to control the utilization of the resource.
520 $a In the second part of the thesis, we consider the impacts of game-theoretic and behavioral decision-making on the security of networked systems. While networks capture relationships and interdependencies in many socio-technical systems, these interconnections often expose the entities/nodes to different types of security risks. We first investigate the impacts of nonlinear (prospect-theoretic) perception of attack/infection probabilities on the security investments at the Nash equilibria in two game-theoretic settings. Specifically, we consider i) interdependent security games, where the attack probability faced by a node depends on the decisions made by her immediate neighbors, and ii) SIS epidemics on networks, where the infection probability of a node depends on the decisions made by all nodes in the network. In both settings, we identify conditions under which nonlinear perception of probabilities lead to improved security outcomes at the respective Nash equilibria. We further characterize the structure of networks that minimize bounds on the expected fraction of nodes that are i) attacked at the equilibria in a class of interdependent security games, and ii) infected in the endemic state of SIS epidemic dynamics. Finally, we propose a game-theoretic framework to investigate the implications of decentralized defense strategies in large-scale networks against targeted attacks.
520 $a In total, our investigation leads to new insights into the impacts of behavioral and game-theoretic decision-making on the security and robustness of shared systems and networks.
590 $a School code: 0183.
650 4 $a Electrical engineering. $3 649834
650 4 $a Operations research. $3 547123
650 4 $a Systems science. $3 3168411
690 $a 0544
690 $a 0796
690 $a 0790
710 2 $a Purdue University. $b Electrical and Computer Engineering. $3 1018497
773 0 $t Dissertation Abstracts International $g 79-03B(E).
790 $a 0183
791 $a Ph.D.
792 $a 2017
793 $a English
856 4 0 $u http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=10606112