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Preserving Privacy Against Side-Channel Leaks

Name: Preserving Privacy Against Side-Channel Leaks
Brand: Springer International Publishing AG
SKU: 19415786
Price: 97.14 EUR
Availability: InStock
Author: WEN MING LIU
ISBN: 9783319826264

From Data Publishing to Web Applications

WEN MING LIU

Jezik

Angleščina

Knjiga Mehka

Koda Libristo: 19415786

Založba Springer International Publishing AG, april 2018

This book offers a novel approach to data privacy by unifying side-channel attacks within a general... Celoten opis

Koda Libristo: 19415786

236 b

97.14 €

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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.