Preserving Privacy Against Side-Channel Leaks

From Data Publishing to Web Applications

von Wen Ming Liu, Lingyu Wang

142 Seiten, Hardcover

Kurzbeschreibung des Verlags

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.

• Reihe: Advances in Information Security
• Themen: Informatik und Informationstechnologie Computersicherheit
• ISBN: 9783319426426
• Sprache: Englisch
• Erscheinungsdatum: 19.10.2016
• Größe: 23.5 x 15.5 cm
• Verlag: Springer International Publishing