Preserving Privacy Against Side-Channel Leaks
Synopsis
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.
- Derechos de autor:
- 2016 Springer
Book Details
- Book Quality:
- ISBN-13:
- 9783319426440
- Publisher:
- Springer International Publishing, Cham
- Date of Addition:
- 2017-03-27T01:03:05Z
- Idioma:
- English
- Categorías:
- Usage Restrictions:
- This is a copyrighted book.