Share
Preserving Privacy Against Side-Channel Leaks: From Data Publishing to Web Applications
Lingyu Wang
(Author)
·
Wen Ming Liu
(Author)
·
Springer
· Paperback
Preserving Privacy Against Side-Channel Leaks: From Data Publishing to Web Applications - Liu, Wen Ming ; Wang, Lingyu
Out of Stock
We'll email you when the book is available again
Synopsis "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 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.
- 0% (0)
- 0% (0)
- 0% (0)
- 0% (0)
- 0% (0)
All books in our catalog are Original.
The book is written in English.
The binding of this edition is Paperback.
✓ Producto agregado correctamente al carro, Ir a Pagar.
