Książki

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. Also included is a summary paper of a tutorial. As in previous years, one of the goals of the IFIP Summer School was to encourage the publication of thorough research papers by students and emerging scholars. The papers combine interdisciplinary approaches to bring together a host of perspectives, such as technical, legal, regulatory, socio-economic, social or societal, political, ethical, anthropological, philosophical, or psychological perspectives.

*The summer school was held virtually.

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

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.