Science of Quantitative Information Flow

Szerző: Mário S. Alvim, Konstantinos Chatzikokolakis, Annabelle McIver, Carroll Morgan, Catuscia Palamidessi, Geoffrey S. Smith

Nyelv:

Kötés: Kemény kötésű

Kiadó: Springer International Publishing AG

Elérhetőség: Beszállítói készleten

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This book presents a comprehensive mathematical theory that explains precisely what information flow...

Információk a könyvről

Szerző

Mário S. Alvim, Konstantinos Chatzikokolakis, Annabelle McIver, Carroll Morgan, Catuscia Palamidessi, Geoffrey S. Smith

Nyelv

Angol

Kötés

Könyv - Kemény kötésű

Kiadva

2019

oldal

478

EAN

9783319961293

ISBN

3319961292

Enbook ID

19762381

Kiadó

Springer International Publishing AG

Súly

922

Méretek

155 x 235 x 22

Teljes leírás

This book presents a comprehensive mathematical theory that explains precisely what information flow is, and how it can be assessed quantitatively (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. This theory addresses a fundamental challenge: functional and practical requirements frequently conflict with the goal of preserving confidentiality, making perfect security unattainable. The authors 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 a unified, self-contained, and comprehensive presentation, accessible to students and researchers with knowledge of discrete probability and some mathematical maturity, with numerous exercises to facilitate use as a course textbook.

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Science of Quantitative Information Flow

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