國立虎尾科技大學 |

Preserving privacy against side-channel leaks = from data publishing to web applications /

紀錄類型:	書目-語言資料,印刷品 : Monograph/item
正題名/作者:	Preserving privacy against side-channel leaks/ by Wen Ming Liu, Lingyu Wang.
其他題名:	from data publishing to web applications /
作者:	Liu, Wen Ming.
其他作者:	Wang, Lingyu.
出版者:	Cham :Springer International Publishing : : 2016.,
面頁冊數:	xiii, 142 p. :ill., digital ; : 24 cm.;
Contained By:	Springer eBooks
標題:	Computer security. -
電子資源:	http://dx.doi.org/10.1007/978-3-319-42644-0
ISBN:	9783319426440

Preserving privacy against side-channel leaks = from data publishing to web applications /
Liu, Wen Ming.

Preserving privacy against side-channel leaksfrom data publishing to web applications /[electronic resource] :by Wen Ming Liu, Lingyu Wang. - Cham :Springer International Publishing :2016. - xiii, 142 p. :ill., digital ;24 cm. - Advances in information security,v.681568-2633 ;. - Advances in information security ;50..

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.

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.

ISBN: 9783319426440

Standard No.: 10.1007/978-3-319-42644-0doiSubjects--Topical Terms:

557122
Computer security.

LC Class. No.: QA76.9.A25

Dewey Class. No.: 005.8

Preserving privacy against side-channel leaks = from data publishing to web applications /
LDR:02523nam a2200337 a 4500 001 866256
003 DE-He213
005 20160824155516.0
006 m d
007 cr nn 008maaau
008 170720s2016 gw s 0 eng d
020 $a 9783319426440 $q (electronic bk.)
020 $a 9783319426426 $q (paper)
024 7 $a 10.1007/978-3-319-42644-0 $2 doi
035 $a 978-3-319-42644-0
040 $a GP $c GP
041 0 $a eng
050 4 $a QA76.9.A25
072 7 $a UR $2 bicssc
072 7 $a UTN $2 bicssc
072 7 $a COM053000 $2 bisacsh
082 0 4 $a 005.8 $2 23
090 $a QA76.9.A25 $b L783 2016
100 1 $a Liu, Wen Ming. $3 1112333
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.
260 $a Cham : $c 2016. $b Springer International Publishing : $b Imprint: Springer,
300 $a xiii, 142 p. : $b ill., digital ; $c 24 cm.
490 1 $a Advances in information security, $x 1568-2633 ; $v 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 Computer security. $3 557122
650 0 $a Internet $x Security measures. $3 567030
650 1 4 $a Computer Science. $3 593922
650 2 4 $a Systems and Data Security. $3 677062
650 2 4 $a Data Encryption. $3 669790
650 2 4 $a Information Systems and Communication Service. $3 669203
650 2 4 $a Computer Communication Networks. $3 669310
700 1 $a Wang, Lingyu. $3 1024773
710 2 $a SpringerLink (Online service) $3 593884
773 0 $t Springer eBooks
830 0 $a Advances in information security ; $v 50. $3 881246
856 4 0 $u http://dx.doi.org/10.1007/978-3-319-42644-0
950 $a Computer Science (Springer-11645)