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...

Πλήρης περιγραφή

Λεπτομέρειες βιβλιογραφικής εγγραφής
Κύριοι συγγραφείς: Liu, Wen Ming (Συγγραφέας), Wang, Lingyu (Συγγραφέας)
Συγγραφή απο Οργανισμό/Αρχή: SpringerLink (Online service)
Μορφή: Ηλεκτρονική πηγή Ηλ. βιβλίο
Γλώσσα:English
Έκδοση: Cham : Springer International Publishing : Imprint: Springer, 2016.
Σειρά:Advances in Information Security, 68
Θέματα:
Διαθέσιμο Online:Full Text via HEAL-Link
LEADER 03337nam a22005295i 4500
001 978-3-319-42644-0
003 DE-He213
005 20160824155516.0
007 cr nn 008mamaa
008 160824s2016 gw | s |||| 0|eng d
020 |a 9783319426440  |9 978-3-319-42644-0 
024 7 |a 10.1007/978-3-319-42644-0  |2 doi 
040 |d GrThAP 
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 
100 1 |a Liu, Wen Ming.  |e author. 
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. 
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 1568-2633 ;  |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 science. 
650 0 |a Computer communication systems. 
650 0 |a Computer security. 
650 0 |a Data encryption (Computer science). 
650 0 |a Computers. 
650 1 4 |a Computer Science. 
650 2 4 |a Systems and Data Security. 
650 2 4 |a Data Encryption. 
650 2 4 |a Information Systems and Communication Service. 
650 2 4 |a Computer Communication Networks. 
700 1 |a Wang, Lingyu.  |e author. 
710 2 |a SpringerLink (Online service) 
773 0 |t Springer eBooks 
776 0 8 |i Printed edition:  |z 9783319426426 
830 0 |a Advances in Information Security,  |x 1568-2633 ;  |v 68 
856 4 0 |u http://dx.doi.org/10.1007/978-3-319-42644-0  |z Full Text via HEAL-Link 
912 |a ZDB-2-SCS 
950 |a Computer Science (Springer-11645)