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Preserving Privacy Against Side-Channel Leaks: From Data Publishing to Web Applications

169,38 
169,38 
2025-07-31 169.3800 InStock
Nemokamas pristatymas į paštomatus per 18-22 darbo dienų užsakymams nuo 19,00 

Knygos aprašymas

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.

Informacija

Autorius: Lingyu Wang, Wen Ming Liu,
Serija: Advances in Information Security
Leidėjas: Springer Nature Switzerland
Išleidimo metai: 2016
Knygos puslapių skaičius: 156
ISBN-10: 3319426427
ISBN-13: 9783319426426
Formatas: Knyga kietu viršeliu
Kalba: Anglų
Žanras: Coding theory and cryptology

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