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Privacy in digital identity systems: models, assessment and user adoption
Armen Khatchatourov, Maryline Laurent, Claire Levallois-Barth

Privacy in digital identity systems: models, assessment and user adoption

Science & Mathematics Published 2015 Verification Pending

Overview & Synopsis

The use of privacy protection measures is of particular importance for existing and upcoming users' digital identities. Thus, the recently adopted EU Regulation on Electronic identification and trust services (eIDAS) explicitly allows the use of pseudonyms in the context of eID systems, without specifying the way they should be implemented. The paper contributes to the discussion on pseudonyms and multiple identities, by (1) providing an original analysis grid that can be applied for privacy evaluation in any eID architecture, and (2) intro-ducing the concept of eID deployer allowing to model virtually any case of the relation between the user, the eID implementation and user's digital identities. Based on these inputs, a comparative analysis of four exemplary eID architec-tures deployed in European countries is conducted. The paper also discusses how sensitive citizens of these countries are to the privacy argument while adopting these systems, and presents the "privacy adoption paradox".

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Document Information

Document Title Privacy in digital identity systems: models, assessment and user adoption
Author / Organization Armen Khatchatourov, Maryline Laurent, Claire Levallois-Barth
Subject & Discipline Multidisciplinary Academic Open Research
Categories Science & Mathematics
Publication Year 2015
License / Rights Open Access / Creative Commons
Resource Verification Listed PDF (Verification Pending)
Original Host Website HAL Open Science (hal.science)
File Format application/pdf (Portable Document Format)
Language EN
Catalog ID DOC-200669
Original Source Link Visit Source Page on hal.science »