Preserving Privacy Against Side-Channel Leaks From Data Publishing to Web Applications
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.Book details
- Edition:
- 1st ed. 2016
- Series:
- Advances in Information Security (Book 68)
- Author:
- Wen Ming Liu, Lingyu Wang
- ISBN:
- 9783319426440
- Related ISBNs:
- 9783319426426
- Publisher:
- Springer International Publishing
- Pages:
- N/A
- Reading age:
- Not specified
- Includes images:
- Yes
- Date of addition:
- 2019-09-22
- Usage restrictions:
- Copyright
- Copyright date:
- 2016
- Copyright by:
- Springer International Publishing, Cham
- Adult content:
- No
- Language:
- English
- Categories:
- Computers and Internet, Nonfiction