Preserving Privacy Against Side-Channel Leaks

From Data Publishing to Web Applications

de

,

Éditeur :

Springer


Collection :

Advances in Information Security

Paru le : 2016-08-24



eBook Téléchargement , DRM LCP 🛈 DRM Adobe 🛈
Lecture en ligne (streaming)
94,94

Téléchargement immédiat
Dès validation de votre commande
Ajouter à ma liste d'envies
Image Louise Reader présentation

Louise Reader

Lisez ce titre sur l'application Louise Reader.

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.

Pages
142 pages
Collection
Advances in Information Security
Parution
2016-08-24
Marque
Springer
EAN papier
9783319426426
EAN PDF
9783319426440

Informations sur l'ebook
Nombre pages copiables
1
Nombre pages imprimables
14
Taille du fichier
1823 Ko
Prix
94,94 €
EAN EPUB
9783319426440

Informations sur l'ebook
Nombre pages copiables
1
Nombre pages imprimables
14
Taille du fichier
2068 Ko
Prix
94,94 €