Titel: Preserving Privacy Against Side-channel Leaks : From Data Publishing to Web Applications
Verlag: Springer
Erscheinungsjahr: 2018
Sprache: Englisch
ISBN-10: 3319826263
ISBN-13: 9783319826264
Einband: Softcover
Zustand: As New

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Inhaltsangabe

This book offers a novel approach to data privacy by unifying side-channel attacks within a general conceptual framework. This book then applies the framework in three concrete domains.

First, the book examines privacy-preserving data publishing with publicly-known algorithms, studying a generic strategy independent of data utility measures and syntactic privacy properties before discussing an extended approach to improve the efficiency. Next, the book explores privacy-preserving traffic padding in Web applications, first via a model to quantify privacy and cost and then by introducing randomness to provide background knowledge-resistant privacy guarantee. Finally, the book considers privacy-preserving smart metering by proposing a light-weight approach to simultaneously preserving users' privacy and ensuring billing accuracy.

Designed for researchers and professionals, this book is also suitable for advanced-level students interested in privacy, algorithms, or web applications.

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This book offers a novel approach to data privacy by unifying side-channel attacks within a general conceptual framework. This book then applies the framework in three concrete domains.

Designed for researchers and professionals, this book is also suitable for advanced-level students interested in privacy, algorithms, or web applications.

��ber diesen Titel� kann sich auf eine andere Ausgabe dieses Titels beziehen.

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