Preserving Privacy Against Side-Channel Leaks (True PDF)
Preserving Privacy Against Side-Channel Leaks (True PDF)
: From Data Publishing to Web Applications (Advances in Information Security) by Wen Ming Liu
English| 25 Sept. 2016 | ISBN: 3319426427 | 142 Pages | PDF (True) | 1.78 MB

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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