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Titlebook: Decision and Game Theory for Security; 15th International C Arunesh Sinha,Jie Fu,Tao Zhang Conference proceedings 2025 The Editor(s) (if ap

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發(fā)表于 2025-3-21 19:09:46 | 只看該作者 |倒序?yàn)g覽 |閱讀模式
書(shū)目名稱Decision and Game Theory for Security
副標(biāo)題15th International C
編輯Arunesh Sinha,Jie Fu,Tao Zhang
視頻videohttp://file.papertrans.cn/285/284487/284487.mp4
叢書(shū)名稱Lecture Notes in Computer Science
圖書(shū)封面Titlebook: Decision and Game Theory for Security; 15th International C Arunesh Sinha,Jie Fu,Tao Zhang Conference proceedings 2025 The Editor(s) (if ap
描述.This book constitutes the refereed proceedings of the 15th International Conference on Decision and Game Theory for Security, GameSec 2024, which took place in New York City, USA, in October 2024.?..The 15 full papers included in this book were carefully reviewed and selected from 27 submissions. They were organized in topical sections as follows: systems security; economics; equilibrium and control; cyber deception; network and privacy; adversarial machine learning; and cyber-physical systems..
出版日期Conference proceedings 2025
關(guān)鍵詞cyber security; cyber defense; data security and privacy; artificial intelligence; cyber economics; cyber
版次1
doihttps://doi.org/10.1007/978-3-031-74835-6
isbn_softcover978-3-031-74834-9
isbn_ebook978-3-031-74835-6Series ISSN 0302-9743 Series E-ISSN 1611-3349
issn_series 0302-9743
copyrightThe Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerl
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https://doi.org/10.1007/978-3-031-74835-6cyber security; cyber defense; data security and privacy; artificial intelligence; cyber economics; cyber
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Fuzzy MOMSDM for Dynamic Machine Allocation,ng methods are time-consuming, resource-intensive, and prone to human errors. Current trends?in automated penetration testing are also impractical, facing significant challenges such as the curse of dimensionality, scalability issues, and lack of adaptability to network changes.?To address these iss
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ns built into a model can?have substantial financial or even national security impacts. Computer scientists are often asked to optimize for worst-case outcomes,?and since security is largely focused on risk mitigation, preparing?for the worst-case scenario appears rational. In this work,?we demonstr
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Fuzzy-Chips und Hardwaresysteme, which relies on proof-of-work mining to secure the underlying blockchain protocol. Miners empowered by quantum computers will have superior computational power to win the competition. The quantum advantage jeopardizes?the security and trustworthy of cryptocurrency and the transaction validation pr
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The Search for Human Intelligence goods in selected areas. We?model this as a large two-player zero-sum one-shot game played on a?graph representation of the physical world, with the optimal logistics plans described by the (possibly randomized) Nash equilibria of?this game. Our logistics model is fairly sophisticated, and is able?
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