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Preserving Privacy Against Side-Channel Leaks
Wen Ming Liu
Lingyu Wang
其他書名
From Data Publishing to Web Applications
出版
Springer
, 2016-08-24
主題
Computers / Security / General
Computers / Online Services
Computers / Networking / Hardware
Computers / Information Technology
Computers / Internet / General
Language Arts & Disciplines / Library & Information Science / General
Computers / Networking / General
ISBN
3319426443
9783319426440
URL
http://books.google.com.hk/books?id=db3mDAAAQBAJ&hl=&source=gbs_api
EBook
SAMPLE
註釋
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.