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Preserving Privacy Against Side-Channel Leaks From Data Publishing to Web Applications /
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 str...
| Cote: | Libro Electrónico |
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| Auteurs principaux: | , |
| Collectivité auteur: | |
| Format: | Électronique eBook |
| Langue: | Inglés |
| Publié: |
Cham :
Springer International Publishing : Imprint: Springer,
2016.
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| Édition: | 1st ed. 2016. |
| Collection: | Advances in Information Security,
68 |
| Sujets: | |
| Accès en ligne: | Texto Completo |
| Résumé: | 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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| Description matérielle: | XIII, 142 p. 19 illus., 1 illus. in color. online resource. |
| ISBN: | 9783319426440 |
| ISSN: | 2512-2193 ; |