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

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 str...

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Detalles Bibliográficos
Clasificación:Libro Electrónico
Autores principales: Liu, Wen Ming (Autor), Wang, Lingyu (Autor)
Autor Corporativo: SpringerLink (Online service)
Formato: Electrónico eBook
Idioma:Inglés
Publicado: Cham : Springer International Publishing : Imprint: Springer, 2016.
Edición:1st ed. 2016.
Colección:Advances in Information Security, 68
Temas:
Data protection.
Cryptography.
Data encryption (Computer science).
Computer networks .
Data and Information Security.
Cryptology.
Computer Communication Networks.
Acceso en línea:Texto Completo

MARC

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245 1 0 |a Preserving Privacy Against Side-Channel Leaks  |h [electronic resource] :  |b From Data Publishing to Web Applications /  |c by Wen Ming Liu, Lingyu Wang. 
250 |a 1st ed. 2016. 
264 1 |a Cham :  |b Springer International Publishing :  |b Imprint: Springer,  |c 2016. 
300 |a XIII, 142 p. 19 illus., 1 illus. in color.  |b online resource. 
336 |a text  |b txt  |2 rdacontent 
337 |a computer  |b c  |2 rdamedia 
338 |a online resource  |b cr  |2 rdacarrier 
347 |a text file  |b PDF  |2 rda 
490 1 |a Advances in Information Security,  |x 2512-2193 ;  |v 68 
505 0 |a Introduction -- Related Work -- Data Publishing: Trading off Privacy with Utility through the k-Jump Strategy -- Data Publishing: A Two-Stage Approach to Improving Algorithm Efficiency -- Web Applications: k-Indistinguishable Traffic Padding -- Web Applications: Background-Knowledge Resistant Random Padding -- Smart Metering: Inferences of Appliance Status from Fine-Grained Readings -- The Big Picture: A Generic Model of Side-Channel Leaks -- Conclusion. 
520 |a 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. 
650 0 |a Data protection. 
650 0 |a Cryptography. 
650 0 |a Data encryption (Computer science). 
650 0 |a Computer networks . 
650 1 4 |a Data and Information Security. 
650 2 4 |a Cryptology. 
650 2 4 |a Computer Communication Networks. 
700 1 |a Wang, Lingyu.  |e author.  |4 aut  |4 http://id.loc.gov/vocabulary/relators/aut 
710 2 |a SpringerLink (Online service) 
773 0 |t Springer Nature eBook 
776 0 8 |i Printed edition:  |z 9783319426426 
776 0 8 |i Printed edition:  |z 9783319426433 
776 0 8 |i Printed edition:  |z 9783319826264 
830 0 |a Advances in Information Security,  |x 2512-2193 ;  |v 68 
856 4 0 |u https://doi.uam.elogim.com/10.1007/978-3-319-42644-0  |z Texto Completo 
912 |a ZDB-2-SCS 
912 |a ZDB-2-SXCS 
950 |a Computer Science (SpringerNature-11645) 
950 |a Computer Science (R0) (SpringerNature-43710) 

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