Privacy and Identity Management. Between Data Protection and Security

图书简介

This book contains selected papers presented at the 16th IFIP WG 9.2, 9.6/11.7, 11.6/SIG 9.2.2 International Summer School on Privacy and Identity Management, held online in August 2021.The 9 full papers included in this volume were carefully reviewed and selected from 23 submissions. Also included are 2 invited keynote papers and 3 tutorial/workshop summary papers. 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.

Keynote Papers.- Challenges for Designing Serious Games on Security and Privacy Awareness.- Information Security Risk Management.- Workshop and Tutorial Papers.- Conceptualising the Legal Notion of ’State of the Art’ in the Context of IT Security.- Privacy-Preserving Identity Management and Applications to Academic Degree Verification.- The State of Surveillance – An Overall Account of Surveillance.- Selected Student Papers.- Bringing Privacy, Security and Performance to the Internet of Things through Usage Control and Blockchains.- SynCare: an Innovative Remote Patient Monitoring System secured by Cryptography and Blockchain.- Taxpayers’ Rights, the Right to Data Protection and Cybersecurity in the EU.- Usable privacy and security from the perspective of cognitive abilities.- Cloud Native Privacy Engineering through DevPrivOps.- Gamification in mHealth - Opportunities and Privacy Risks.- Exploration of Factors that can Impact the Willingness of Employees to Share Smart Watch Data with their Employers.- Public education, platformization and cooperative responsibility: the case of the Privacy Covenant in the Netherlands.- Observing road freight traffc from mobile network signalling data while respecting privacy and business confidentiality.

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