Privacy and Identity Management [E-Book] : 15th IFIP WG 9.2, 9.6/11.7, 11.6/SIG 9.2.2 International Summer School, Maribor, Slovenia, September 21-23, 2020, Revised Selected Papers / edited by Michael Friedewald, Stefan Schiffner, Stephan Krenn.
This book contains selected papers presented at the 15th IFIP WG 9.2, 9.6/11.7, 11.6/SIG 9.2.2 International Summer School on Privacy and Identity Management, held in Maribor, Slovenia, in September 2020.* The 13 full papers included in this volume were carefully reviewed and selected from 21 submis...
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Full text |
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Personal Name(s): | Friedewald, Michael, editor |
Krenn, Stephan, editor / Schiffner, Stefan, editor | |
Edition: |
1st edition 2021. |
Imprint: |
Cham :
Springer,
2021
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Physical Description: |
X, 265 pages 52 illustrations, 29 illustrations in color (online resource) |
Note: |
englisch |
ISBN: |
9783030724658 |
DOI: |
10.1007/978-3-030-72465-8 |
Series Title: |
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IFIP Advances in Information and Communication Technology ;
619 |
Subject (LOC): |
- Tutorial Paper
- Don't Tell Them now (or at all) - End User Notification Duties under GDPR and NIS Directive
- Selected Student Papers
- Ethical Principles for Designing Responsible Offensive Cyber Security Training
- Longitudinal collection and analysis of mobile phone data with local differential privacy
- Privacy-preserving IDS for In-Car-Networks with Local Differential Privacy
- Strong customer authentication in online payments under GDPR and PSD2: a case of cumulative application
- Privacy in Payment in the Age of Central Bank Digital Currency
- Analysing drivers' preferences for privacy enhancing car-to-car communication systems
- Learning Analytics and Privacy - Respecting Privacy in Digital Learning Scenarios
- Preserving Privacy in Caller ID Applications
- "Identity management by design" with a technical Mediator under the GDPR
- Open about the open-rate? State of email tracking in marketing emails and its effects on user's privacy
- Privacy Respecting Data Sharing and Communication in mHealth: A Case Study
- Privacy-preserving Analytics for Data Markets using MPC
- Towards models for privacy preservation in the face of metadata exploitation.