Preserving Privacy Against Side-Channel Leaks: From Data Publishing to Web Applications: 68 - Brossura

Liu, Wen Ming; Wang, Lingyu

Brossura

ISBN 10: 3319826263 ISBN 13: 9783319826264

Casa editrice: Springer, 2018

Riassunto

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.

Su questo libro

Dalla quarta di copertina

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.

Dettagli dell?edizione

• Editore: Springer
• Data di pubblicazione: 2018
• ISBN 10: 3319826263
• ISBN 13: 9783319826264
• Rilegatura: Copertina flessibile
• Lingua: Inglese
• Numero di pagine: 156
• Contatto del produttore: non disponibile