國立高雄大學圖資館 |

Language: English

Back

Privacy in statistical databasesInternational Conference, PSD 2024, Antibes Juan-Les-Pins, France, September 25-27, 2024 : proceedings /

Record Type:	Electronic resources : Monograph/item
Title/Author:	Privacy in statistical databasesedited by Josep Domingo-Ferrer, Melek Önen.
Reminder of title:	International Conference, PSD 2024, Antibes Juan-Les-Pins, France, September 25-27, 2024 : proceedings /
other author:	Domingo-Ferrer, Josep.
corporate name:
Published:	Cham :Springer Nature Switzerland :2024.
Description:	xi, 438 p. :ill., digital ;24 cm.
Contained By:	Springer Nature eBook
Subject:	Database securityCongresses.
Online resource:	https://doi.org/10.1007/978-3-031-69651-0
ISBN:	9783031696510$q(electronic bk.)

Privacy in statistical databasesInternational Conference, PSD 2024, Antibes Juan-Les-Pins, France, September 25-27, 2024 : proceedings /
Privacy in statistical databasesInternational Conference, PSD 2024, Antibes Juan-Les-Pins, France, September 25-27, 2024 : proceedings /[electronic resource] :edited by Josep Domingo-Ferrer, Melek Önen. - Cham :Springer Nature Switzerland :2024. - xi, 438 p. :ill., digital ;24 cm. - Lecture notes in computer science,149150302-9743 ;. - Lecture notes in computer science,2807..

Privacy models and concepts -- Microdata protection -- Statistical table protection -- Synthetic data generation methods -- Synthetic data generation software -- Disclosure risk assessment -- Spatial and georeferenced data -- Machine learning and privacy -- Case studies.

This book constitutes the refereed proceedings of the International Conference on Privacy in Statistical Databases, PSD 2024, held in Antibes Juan-les-Pins, France, during September 25-27, 2024. The 28 papers presented in this volume were carefully reviewed and selected from 46 submissions. They were organized in topical sections as follows: Privacy models and concepts; Microdata protection; Statistical table protection; Synthetic data generation methods; Synthetic data generation software; Disclosure risk assessment; Spatial and georeferenced data; Machine learning and privacy; and Case studies.

ISBN: 9783031696510$q(electronic bk.)

Standard No.: 10.1007/978-3-031-69651-0doiSubjects--Topical Terms:

384616
Database security
--Congresses.

LC Class. No.: QA76.9.D343

Dewey Class. No.: 005.8

Privacy in statistical databasesInternational Conference, PSD 2024, Antibes Juan-Les-Pins, France, September 25-27, 2024 : proceedings /
LDR:02081nmm a2200361 a 4500 001 669183
003 DE-He213
005 20240912130302.0
006 m d
007 cr nn 008maaau
008 250120s2024 sz s 0 eng d
020 $a 9783031696510$q(electronic bk.)
020 $a 9783031696503$q(paper)
024 7 $a 10.1007/978-3-031-69651-0 $2 doi
035 $a 978-3-031-69651-0
040 $a GP $c GP
041 0 $a eng
050 4 $a QA76.9.D343
072 7 $a UNF $2 bicssc
072 7 $a UYQE $2 bicssc
072 7 $a COM021030 $2 bisacsh
072 7 $a UNF $2 thema
072 7 $a UYQE $2 thema
082 0 4 $a 005.8 $2 23
090 $a QA76.9.D343 $b P974 2024
111 2 $n (3rd : $d 1998 : $c Amsterdam, Netherlands) $3 194767
245 1 0 $a Privacy in statistical databases $h [electronic resource] : $b International Conference, PSD 2024, Antibes Juan-Les-Pins, France, September 25-27, 2024 : proceedings / $c edited by Josep Domingo-Ferrer, Melek Önen.
260 $a Cham : $b Springer Nature Switzerland : $b Imprint: Springer, $c 2024.
300 $a xi, 438 p. : $b ill., digital ; $c 24 cm.
490 1 $a Lecture notes in computer science, $x 0302-9743 ; $v 14915
505 0 $a Privacy models and concepts -- Microdata protection -- Statistical table protection -- Synthetic data generation methods -- Synthetic data generation software -- Disclosure risk assessment -- Spatial and georeferenced data -- Machine learning and privacy -- Case studies.
520 $a This book constitutes the refereed proceedings of the International Conference on Privacy in Statistical Databases, PSD 2024, held in Antibes Juan-les-Pins, France, during September 25-27, 2024. The 28 papers presented in this volume were carefully reviewed and selected from 46 submissions. They were organized in topical sections as follows: Privacy models and concepts; Microdata protection; Statistical table protection; Synthetic data generation methods; Synthetic data generation software; Disclosure risk assessment; Spatial and georeferenced data; Machine learning and privacy; and Case studies.
650 0 $a Database security $v Congresses. $3 384616
650 0 $a Data protection $v Congresses. $3 384517
650 0 $a Statistics $x Databases $v Congresses. $3 446405
650 1 4 $a Data Mining and Knowledge Discovery. $3 275288
650 2 4 $a Database Management. $3 273994
650 2 4 $a Machine Learning. $3 833608
650 2 4 $a Computers and Society. $3 273764
650 2 4 $a Data and Information Security. $3 913130
650 2 4 $a Computer Communication Networks. $3 218087
700 1 $a Domingo-Ferrer, Josep. $3 279192
700 1 $a Önen, Melek. $3 982108
710 2 $a SpringerLink (Online service) $3 273601
773 0 $t Springer Nature eBook
830 0 $a Lecture notes in computer science, $v 2807. $3 453420
856 4 0 $u https://doi.org/10.1007/978-3-031-69651-0
950 $a Computer Science (SpringerNature-11645)