This is a sample guest message. Register a free account today to become a member! Once signed in, you'll be able to participate on this site by adding your own topics and posts, as well as connect with other members through your own private inbox!
pdf, epub | 3.95 MB | English | Isbn: B01KZ1KZU8 | Author: Wen Ming Liu and Lingyu Wang | Year: 2016
Description:
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.
Feel free to post your Preserving Privacy Against Side-Channel Leaks - From Data Publishing to Web Applic... Free Download, torrent, subtitles, free download, quality, NFO, Dangerous Preserving Privacy Against Side-Channel Leaks - From Data Publishing to Web Applic... Torrent Download, free premium downloads movie, game, mp3 download, crack, serial, keygen.
Did you know that you can become an editor and share content? You must send message to
Prohibitive. Get free editor membership now.
This site uses cookies to help personalise content, tailor your experience and to keep you logged in if you register.
By continuing to use this site, you are consenting to our use of cookies.
