Preserving Privacy Against Side-Channel Leaks / Advances in Information Security Bd.68 (PDF)
From Data Publishing to Web Applications
(Sprache: Englisch)
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...
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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.
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 interestedin privacy, algorithms, or web applications.
Bibliographische Angaben
- Autoren: Wen Ming Liu , Lingyu Wang
- 2016, 1st ed. 2016, 142 Seiten, Englisch
- Verlag: Springer-Verlag GmbH
- ISBN-10: 3319426443
- ISBN-13: 9783319426440
- Erscheinungsdatum: 24.08.2016
Abhängig von Bildschirmgröße und eingestellter Schriftgröße kann die Seitenzahl auf Ihrem Lesegerät variieren.
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- Dateiformat: PDF
- Größe: 1.78 MB
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Sprache:
Englisch
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