ad-team
03-31-2023, 09:44 PM
https://i121.fastpic.org/big/2023/0331/af/4ea5651148a7d1f471ed19443f6679af.jpg
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.
https://i114.fastpic.ru/big/2020/1009/81/82292ccf29364dd9131c066a6b966a81.png
https://rapidgator.net/file/8347ad47a3e395ee5dcf786b673cfa75/
https://filerice.com/bdupxeari13y
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.
https://i114.fastpic.ru/big/2020/1009/81/82292ccf29364dd9131c066a6b966a81.png
https://rapidgator.net/file/8347ad47a3e395ee5dcf786b673cfa75/
https://filerice.com/bdupxeari13y