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Privacy Technologies and Policy : 9th Annual Privacy Forum, APF 2021, Oslo, Norway, June 17-18, 2021, Proceedings / edited by Nils Gruschka, Luís Filipe Coelho Antunes, Kai Rannenberg, Prokopios Drogkaris.

SpringerLink Books Computer Science (2011-2024) Available online

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Format:
Book
Contributor:
Gruschka, Nils, Editor.
Antunes, Luís Filipe Coelho, Editor.
Rannenberg, Kai, Editor.
Drogkaris, Prokopios, Editor.
SpringerLink (Online service)
Series:
Computer Science (SpringerNature-11645)
LNCS sublibrary. Security and cryptology ; SL 4, 12703
Security and Cryptology ; 12703
Language:
English
Subjects (All):
Computers and civilization.
Computer engineering.
Computer networks.
Data protection.
Information storage and retrieval systems.
Computers and Society.
Computer Engineering and Networks.
Data and Information Security.
Information Storage and Retrieval.
Local Subjects:
Computers and Society.
Computer Engineering and Networks.
Data and Information Security.
Information Storage and Retrieval.
Physical Description:
1 online resource (IX, 169 pages) : 33 illustrations, 22 illustrations in color.
Edition:
1st ed. 2021.
Contained In:
Springer Nature eBook
Place of Publication:
Cham : Springer International Publishing : Imprint: Springer, 2021.
System Details:
text file PDF
Summary:
This book constitutes the refereed conference proceedings of the 9th Annual Privacy Forum, APF 2021. Due to COVID-19 pandemic the conference was held virtually. The 9 revised full papers were carefully reviewed and selected from 43 submissions. The papers are organized in topical sections on Implementing Personal Data Processing Principles; Privacy Enhancing Technologies; Promoting Compliance with the GDPR.
Contents:
Implementing Personal Data Processing Principles
The Right to Customization: Conceptualizing the Right to Repair for Informational Privacy
A case study on the implementation of the right of access in privacy dashboards
Consent Management Platforms under the GDPR: processors and/or controllers?
Improving the Transparency of Privacy Terms Updates
Privacy Enhancing Technologies
User-generated pseudonyms through Merkle trees
Towards Improving Privacy of Synthetic DataSets
Promoting Compliance with the GDPR
Protection of Personal Data in High Performance Computing Platform for Scientific Research Purposes
Representing Data Protection Aspects in Process Models by Coloring
Trackers in Your Inbox: Criticizing Current Email Tracking Practices.
Other Format:
Printed edition:
ISBN:
978-3-030-76663-4
9783030766634
Access Restriction:
Restricted for use by site license.

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