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Preserving Privacy Against Side-channel Leaks : From Data Publishing to Web Applications (Hardcover)
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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 interested in privacy, algorithms, or web applications.
Genre: Computers + Internet
Series Title: Advances in Information Security
Publisher: Springer-Verlag New York Inc
Author: Wen Ming Liu
Street Date: September 25, 2016
Item Number (DPCI): 248-23-7908