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Titlebook: Socio-Technical Aspects in Security and Trust; 9th International Wo Thomas Groß,Theo Tryfonas Conference proceedings 2021 Springer Nature S

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发表于 2025-3-21 19:59:32 | 显示全部楼层 |阅读模式
书目名称Socio-Technical Aspects in Security and Trust
副标题9th International Wo
编辑Thomas Groß,Theo Tryfonas
视频video
丛书名称Lecture Notes in Computer Science
图书封面Titlebook: Socio-Technical Aspects in Security and Trust; 9th International Wo Thomas Groß,Theo Tryfonas Conference proceedings 2021 Springer Nature S
描述The open access volume LNCS 11739 constitutes the proceedings ofthe 9th International Workshop on Socio-Technical Aspects in Security, STAST 2019, held in Luxembourg, in September 2019. The total of 9 full papers together with 1 short paper was carefully reviewed and selected from28 submissions. The papers were organized in topical sections named asfollows: Methods for Socio-Technical Systems focused on instruments, frameworks and re ections on research methodology and also System Security considered security analyses and attacks on security systems. Finally, Privacy Control incorporated works on privacy protection and control as well as human factors in relation to these topics..
出版日期Conference proceedings 2021
关键词access control; artificial intelligence; authentication; computer hardware; computer networks; computer s
版次1
doihttps://doi.org/10.1007/978-3-030-55958-8
isbn_softcover978-3-030-55957-1
isbn_ebook978-3-030-55958-8Series ISSN 0302-9743 Series E-ISSN 1611-3349
issn_series 0302-9743
copyrightSpringer Nature Switzerland AG 2021
The information of publication is updating

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odels beginning with the basic to the more advanced and illu.Markov chains are a particularly powerful and widely used tool for analyzing a variety of stochastic (probabilistic) systems over time. This monograph will present a series of Markov models, starting from the basic models and then building
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Thomas Großodels beginning with the basic to the more advanced and illu.Markov chains are a particularly powerful and widely used tool for analyzing a variety of stochastic (probabilistic) systems over time. This monograph will present a series of Markov models, starting from the basic models and then building
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Mohammad Tahaei,Adam Jenkins,Kami Vaniea,Maria Woltersthree ways. First, the discrete event system is defined as a collection of event sets that depend on strings. Whenthe system generates a string, the next event that occurs should be in the corresponding event set. Second, the rewards are for choosing control inputs at strings. Finally, the control p
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Dirk van der Linden,Irit Hadar,Matthew Edwards,Awais Rashidthree ways. First, the discrete event system is defined as a collection of event sets that depend on strings. Whenthe system generates a string, the next event that occurs should be in the corresponding event set. Second, the rewards are for choosing control inputs at strings. Finally, the control p
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Albesë Demjaha,Simon Parkin,David Pymhorizon models. For a finite horizon model, the problem with an expected total reward optimization criterion is considered, which can be efficiently solved by using the backward dynamic programming technique. For infinite horizon models, two basic problems are studied: the problem with an expected t
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then be carried out via a preference list, an ordered set of runway combinations such that the higher on the list a runway combination, the better this combination is for reducing noise load. The highest safe runway combination in the list will actually be used. The optimal preference list selection
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