£76.02

Springer Preserving Privacy Against Side-Channel Leaks: From Data Publishing to Web Applications: 68 (Advances in Information Security, 68)

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£78.01 £72.91 £74.02 £75.13 £76.25 £77.36 £78.47 24 January 2026 14 February 2026 07 March 2026 28 March 2026 18 April 2026

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14 days 1 day 46 days 1 day · current 17 days 0 12 23 35 46 £73 £74 £75 £76 £78 Days at Price

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Most common price: £75 (46 days, 58.2%)

Price range: £73 - £78

Price levels: 5 different prices over 79 days

Description

Product 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. From the Back Cover 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.

Product Specifications

Format
hardcover
Domain
Amazon UK
Release Date
19 October 2016
Listed Since
10 June 2016

Barcode

No barcode data available

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