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Titlebook: Decision and Game Theory for Security; Second International John S. Baras,Jonathan Katz,Eitan Altman Conference proceedings 2011 Springer-V

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書目名稱Decision and Game Theory for Security
副標題Second International
編輯John S. Baras,Jonathan Katz,Eitan Altman
視頻videohttp://file.papertrans.cn/265/264330/264330.mp4
概述Fast-track conference proceedings.State-of-the-art research.Up-to-date results
叢書名稱Lecture Notes in Computer Science
圖書封面Titlebook: Decision and Game Theory for Security; Second International John S. Baras,Jonathan Katz,Eitan Altman Conference proceedings 2011 Springer-V
描述This book constitutes the refereed proceedings of the Second International Conference on Decision and Game Theory for Security, GameSec 2011, held in College Park, Maryland, USA, in November 2011. The 16 revised full papers and 2 plenary keynotes presented were carefully reviewed and selected from numerous submissions. The papers are organized in topical sections on attacks, adversaries, and game theory, wireless adhoc and sensor networks, network games, security insurance, security and trust in social networks and security investments.
出版日期Conference proceedings 2011
關鍵詞Web security; cooperative games; digital trust; government intervention; intrusion detection systems; alg
版次1
doihttps://doi.org/10.1007/978-3-642-25280-8
isbn_softcover978-3-642-25279-2
isbn_ebook978-3-642-25280-8Series ISSN 0302-9743 Series E-ISSN 1611-3349
issn_series 0302-9743
copyrightSpringer-Verlag GmbH Berlin Heidelberg 2011
The information of publication is updating

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https://doi.org/10.1057/9781403983053ies (clones) of it and deploys such clones back into the network, in order to impact the network’s functionality. In the absence of a centralized authority, distributed clone detection methods have been developed to mitigate this attack. In this paper, we show that the node capture attack and the ne
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https://doi.org/10.1057/9781403983053an process, have two different transition probabilities, which depends on the presence or absence of a intruder nearby. The detection of the transition probability change at one node should be confirmed by a detection of similar change at some other sensors. Based on a simple game the model of a fus
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Defining and Protecting Autonomous Workn but solutions for higher values of . have never been reported in the literature. In this paper we derive an asymptotic formula for the value of the game as .?→?∞ and we present an algorithm that allows us to numerically solve the game for .?≤?256.
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