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Titlebook: Game Theory for Security and Risk Management; From Theory to Pract Stefan Rass,Stefan Schauer Book 2018 Springer International Publishing A

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發(fā)表于 2025-3-21 16:33:32 | 只看該作者 |倒序?yàn)g覽 |閱讀模式
書目名稱Game Theory for Security and Risk Management
副標(biāo)題From Theory to Pract
編輯Stefan Rass,Stefan Schauer
視頻videohttp://file.papertrans.cn/381/380508/380508.mp4
概述Provides a link from theory to practice in security engineering and risk management for practitioners.Demonstrates how game-theoretical methods can be implemented for those who are not experts in game
叢書名稱Static & Dynamic Game Theory: Foundations & Applications
圖書封面Titlebook: Game Theory for Security and Risk Management; From Theory to Pract Stefan Rass,Stefan Schauer Book 2018 Springer International Publishing A
描述.The chapters in this volume explore how various methods from game theory can be utilized to optimize security and risk-management strategies. ?Emphasizing the importance of connecting theory and practice, they detail the steps involved in selecting, adapting, and analyzing game-theoretic models in security engineering and provide case studies of successful implementations in different application domains. ?Practitioners who are not experts in game theory and are uncertain about incorporating it into their work will benefit from this resource, as well as researchers in applied mathematics and computer science interested in current developments and future directions..The first part of the book presents the theoretical basics, covering various different game-theoretic models related to and suitable for security engineering. ?The second part then shows how these models are adopted, implemented, and analyzed. ?Surveillance systems, interconnected networks, and power grids are among the different application areas discussed. ?Finally, in the third part, case studies from business and industry of successful applications of game-theoretic models are presented, and the range of application
出版日期Book 2018
關(guān)鍵詞Game Theory; Decision Support; Risk Management; Reasoning under Uncertainty; Optimal Security Strategies
版次1
doihttps://doi.org/10.1007/978-3-319-75268-6
isbn_softcover978-3-030-09186-6
isbn_ebook978-3-319-75268-6Series ISSN 2363-8516 Series E-ISSN 2363-8524
issn_series 2363-8516
copyrightSpringer International Publishing AG, part of Springer Nature 2018
The information of publication is updating

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發(fā)表于 2025-3-21 20:53:10 | 只看該作者
Book 2018izing the importance of connecting theory and practice, they detail the steps involved in selecting, adapting, and analyzing game-theoretic models in security engineering and provide case studies of successful implementations in different application domains. ?Practitioners who are not experts in ga
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What to Do When You’ve Been Hitch (even total) stochastic order, we give a complete construction, accompanied by examples and procedures how to get a (stochastically optimal) decision. A discussion of how game theory can be put on top of the stochastic order, as well as how the ordering can be applied to general IT risk management closes the chapter.
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Optimal Dispatch of Electrical Transmission Systems Considering Interdependencies with Natural Gas S system. A co-simulation platform is built in MATLAB environment. We evaluate the proposed model using the IEEE 14-bus system and a corresponding natural gas transmission system. According to the simulation results, the reliability of the power system is improved when interdependency constraints are considered.
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發(fā)表于 2025-3-23 01:49:37 | 只看該作者
Utilizing Game Theory for Security Risk Assessmentnd terminology to provide further insight into how game theory can be utilized for risk assessment. In addition, we provide our view on how cooperative game theoretical model may be used to capture opportunity risk, which is usually overlooked in many classical risk assessment methods.
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A Scalable Decomposition Method for the Dynamic Defense of Cyber Networks one another with the goal of achieving network-wide security. The local defense problem’s construction is based on a decomposition of the network into clusters. For the decomposition, we use the notion of an influence graph to describe the dependencies among the security states of the network’s nod
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