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Titlebook: Decision and Game Theory for Security; 14th International C Jie Fu,Tomas Kroupa,Yezekael Hayel Conference proceedings 2023 The Editor(s) (i

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書(shū)目名稱(chēng)Decision and Game Theory for Security
副標(biāo)題14th International C
編輯Jie Fu,Tomas Kroupa,Yezekael Hayel
視頻videohttp://file.papertrans.cn/265/264321/264321.mp4
叢書(shū)名稱(chēng)Lecture Notes in Computer Science
圖書(shū)封面Titlebook: Decision and Game Theory for Security; 14th International C Jie Fu,Tomas Kroupa,Yezekael Hayel Conference proceedings 2023 The Editor(s) (i
描述This book constitutes the refereed proceedings of the 14th International Conference?on?Decision and Game Theory for Security, GameSec 2023, held in Avignon, France,?during?October 18–20, 2023..The?19?full papers and 4 short papers included in this book were carefully reviewed and?selected from?33?submissions. They were organized in topical sections as follows:?Mechanism design and imperfect information,?Security Games,?Learning in security games,?Cyber deception,?Economics of security,?Information and privacy and?Short articles..
出版日期Conference proceedings 2023
關(guān)鍵詞artificial intelligence; computer crime; computer networks; computer security; Game theory; mechanism des
版次1
doihttps://doi.org/10.1007/978-3-031-50670-3
isbn_softcover978-3-031-50669-7
isbn_ebook978-3-031-50670-3Series 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
The information of publication is updating

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Uday Kamath,John Liu,James Whitakerrol over multiple devices. This particular epidemic has been employed in some of the most extensive and widespread distributed denial of service (DDoS) attacks [.]. To take control of numerous devices, the attacker’s strategy consists of injecting malicious code from an infected device into one or m
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Zakir Hussain,Malaya Dutta Borahaluate nonconvex game dynamics. Complex adversarial security games often exhibit nonconvex behaviour such as those admitted by a Kuramoto-Sakaguchi system with Lanchester dynamics. We pose this system as a two-player, zero-sum dynamic security game, where players seek to gain a decision advantage ov
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Prasannavenkatesan Theerthagirid stochastic game. To solve the game we follow an approach where attack and defense strategies co-evolve through reinforcement learning and self-play toward an equilibrium. Solutions proposed in previous work prove the feasibility of this approach for small infrastructures but do not scale to realis
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