Könyv Preserving Privacy Against Side-Channel Leaks WEN MING LIU

Preserving Privacy Against Side-Channel Leaks

From Data Publishing to Web Applications

Szerző: WEN MING LIU
Nyelv: Angol
Kötés: Puha kötésű
Elérhetőség: Beszállítói készleten
Küldés 5-8 napon belül
36 174 Ft
This book offers a novel approach to data privacy by unifying side-channel attacks within a general...

Információk a könyvről

Szerző
Nyelv
Angol
Kötés
Könyv - Puha kötésű
Kiadva
2018
oldal
142
EAN
9783319826264
ISBN
9783319826264
Enbook ID
19415786
Súly
2467
Méretek
155 x 235 x 235

Teljes leírás

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.

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