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Privacy and Identity Management. Facing up to Next Steps

- 11th IFIP WG 9.2, 9.5, 9.6/11.7, 11.4, 11.6/SIG 9.2.2 International Summer School, Karlstad, Sweden, August 21-26, 2016, Revised Selected Papers

indgår i IFIP Advances in Information and Communication Technology serien

indgår i IFIP AICT Tutorials serien

Privacy and Identity Management. Facing up to Next Steps
Bag om Privacy and Identity Management. Facing up to Next Steps

This book contains a range of invited and submitted papers presented at the 11th IFIP WG 9.2, 9.5, 9.6/11.7, 11.4, 11.6/SIG 9.2.2 International Summer School, held in Karlstad, Sweden, in August 2016. The 17 revised full papers and one short paper included in this volume were carefully selected from a total of 42 submissions and were subject to a two-step review process. The papers combine interdisciplinary approaches to bring together a host of perspectives: technical, legal, regulatory, socio-economic, social, societal, political, ethical, anthropological, philosophical, and psychological. The paper ''Big Data Privacy and Anonymization'' is published open access under a CC BY 4.0 license at link.springer.com. 

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  • Sprog:
  • Engelsk
  • ISBN:
  • 9783319857466
  • Indbinding:
  • Paperback
  • Sideantal:
  • 279
  • Udgivet:
  • 25. juli 2018
  • Udgave:
  • 12016
  • Størrelse:
  • 155x235x0 mm.
  • Vægt:
  • 4453 g.
  • 8-11 hverdage.
  • 10. december 2024

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Beskrivelse af Privacy and Identity Management. Facing up to Next Steps

This book contains a range of invited and submitted papers presented at the 11th IFIP WG 9.2, 9.5, 9.6/11.7, 11.4, 11.6/SIG 9.2.2 International Summer School, held in Karlstad, Sweden, in August 2016.
The 17 revised full papers and one short paper included in this volume were carefully selected from a total of 42 submissions and were subject to a two-step review process. The papers combine interdisciplinary approaches to bring together a host of perspectives: technical, legal, regulatory, socio-economic, social, societal, political, ethical, anthropological, philosophical, and psychological.

The paper ''Big Data Privacy and Anonymization'' is published open access under a CC BY 4.0 license at link.springer.com. 

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