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Titlebook: The Science of Quantitative Information Flow; Mário S. Alvim,Konstantinos Chatzikokolakis,Geoffr Textbook 2020 Springer Nature Switzerland

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發(fā)表于 2025-3-21 19:02:30 | 只看該作者 |倒序?yàn)g覽 |閱讀模式
書(shū)目名稱(chēng)The Science of Quantitative Information Flow
編輯Mário S. Alvim,Konstantinos Chatzikokolakis,Geoffr
視頻videohttp://file.papertrans.cn/920/919324/919324.mp4
概述Computer systems that process sensitive information should preserve that information‘s confidentiality, but our current cyber-infrastructure is failing to achieve this goal: reports of massive-scale i
叢書(shū)名稱(chēng)Information Security and Cryptography
圖書(shū)封面Titlebook: The Science of Quantitative Information Flow;  Mário S. Alvim,Konstantinos Chatzikokolakis,Geoffr Textbook 2020 Springer Nature Switzerland
描述.This book presents a comprehensive mathematical theory that explains precisely what information flow is, how it can be assessed quantitatively – so bringing precise meaning to the intuition that certain information leaks are small enough to be tolerated – and how systems can be constructed that achieve rigorous, quantitative information-flow guarantees in those terms. It addresses the fundamental challenge that functional and practical requirements frequently conflict with the goal of preserving confidentiality, making perfect security unattainable..Topics include: a systematic presentation of how unwanted information flow, i.e., "leaks", can be quantified in operationally significant ways and then bounded, both with respect to estimated benefit for an attacking adversary and by comparisons between alternative implementations; a detailed study of capacity, refinement, and Dalenius leakage, supporting robust leakage assessments; a unification of information-theoretic channels and information-leaking sequential programs within the same framework; and a collection of case studies, showing how the theory can be applied to interesting realistic scenarios..The text is unified, self-cont
出版日期Textbook 2020
關(guān)鍵詞Computer Security; Disorder Measures; Hidden Markov Models (HMMs); Information Flow; Information Theory;
版次1
doihttps://doi.org/10.1007/978-3-319-96131-6
isbn_ebook978-3-319-96131-6Series ISSN 1619-7100 Series E-ISSN 2197-845X
issn_series 1619-7100
copyrightSpringer Nature Switzerland AG 2020
The information of publication is updating

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https://doi.org/10.1007/978-3-319-96131-6Computer Security; Disorder Measures; Hidden Markov Models (HMMs); Information Flow; Information Theory;
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The Science of Quantitative Information Flow978-3-319-96131-6Series ISSN 1619-7100 Series E-ISSN 2197-845X
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發(fā)表于 2025-3-22 10:03:53 | 只看該作者
Mário S. Alvim,Konstantinos Chatzikokolakis,GeoffrComputer systems that process sensitive information should preserve that information‘s confidentiality, but our current cyber-infrastructure is failing to achieve this goal: reports of massive-scale i
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1619-7100 and information-leaking sequential programs within the same framework; and a collection of case studies, showing how the theory can be applied to interesting realistic scenarios..The text is unified, self-cont978-3-319-96131-6Series ISSN 1619-7100 Series E-ISSN 2197-845X
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發(fā)表于 2025-3-23 00:02:20 | 只看該作者
1619-7100 is failing to achieve this goal: reports of massive-scale i.This book presents a comprehensive mathematical theory that explains precisely what information flow is, how it can be assessed quantitatively – so bringing precise meaning to the intuition that certain information leaks are small enough t
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Key Concepts and Themes,obalization; and Higher Education and Mobility. Eduscape as the core concept in this book will be the vehicle with which to understand institutional practices and the strategies employed by groups and individuals. As an encompassing and eclectic concept, eduscapes can be investigated on various leve
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