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Preserving Privacy Against Side-Channel Leaks: From Data Publishing to Web Applications - Couverture souple

Livre 70 sur 109: Advances in Information Security

Liu, Wen Ming; Wang, Lingyu

 
9783319826264: Preserving Privacy Against Side-Channel Leaks: From Data Publishing to Web Applications

Synopsis

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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9783319426426: Preserving Privacy Against Side-channel Leaks: From Data Publishing to Web Applications

Edition présentée

ISBN 10 :  3319426427 ISBN 13 :  9783319426426
Editeur : Springer International Publishin..., 2016
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