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Liu / Wang

Preserving Privacy Against Side-Channel Leaks

From Data Publishing to Web Applications
Softcover reprint of the original 1st ed. 2016 2018. Buch. xiii, 142 S.: 18 s/w-Abbildungen, 1 Farbabbildung, Bibliographien. Softcover
Springer ISBN 978-3-319-82626-4
Format (B x L): 15,5 x 23,5 cm
Gewicht: 2467 g
In englischer Sprache
Das Werk ist Teil der Reihe:
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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Webcode: beck-shop.de/cftafp
Provides readers with insights into three important data privacy domains: data publishing, Web application, and smart metering Presents the similarities between seemingly different side-channels attacks in various domains Reveals promising future directions towards generic privacy solutions that are resistant to side channel attacks