Privacy technologies and policy : 9th Annual Privacy Forum, APF 2021, Oslo, Norway, June 17-18, 2021 : proceedings / Nils Gruschka, Luís Filipe Coelho Antunes, Kai Rannenberg, Prokopios Drogkaris (eds.).
Material type:
TextSeries: Lecture notes in computer science ; 12703. | LNCS sublibrary. SL 4, Security and cryptology.Publisher: Cham : Springer, [2021]Copyright date: ©2021Description: 1 online resource (173 pages)Content type: - text
- computer
- online resource
- 9783030766634
- 3030766632
- APF 2021
- Computer security -- Congresses
- Data encryption (Computer science) -- Congresses
- Data protection -- Congresses
- Sécurité informatique -- Congrès
- Chiffrement (Informatique) -- Congrès
- Protection de l'information (Informatique) -- Congrès
- Computer security
- Data encryption (Computer science)
- Data protection
- 005.8 23
- QA76.9.A25
| Item type | Current library | Collection | Call number | Status | Date due | Barcode | Item holds | |
|---|---|---|---|---|---|---|---|---|
eBook
|
e-Library | eBook LNCS | Available |
International conference proceedings.
Includes author index.
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.
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.
Print version record.