Privacy and Identity Management

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

AvMichael Friedewald,Stefan Schiffner

Häftad, Engelska, 2022

Del 619 i serien IFIP Advances in Information and Communication Technology

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Beskrivning

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 submissions.

Produktinformation

Utgivningsdatum:2022-04-02
Mått:155 x 235 x 16 mm
Vikt:423 g
Format:Häftad
Språk:Engelska
Serie:IFIP Advances in Information and Communication Technology
Antal sidor:265
Förlag:Springer Nature Switzerland AG
ISBN:9783030724672

Utforska kategorier

Nätverk och kommunikation inom Data och IT
Databaser inom Data och IT
IT-säkerhet inom Data och IT

Innehållsförteckning

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.