Privacy in digital identity systems: models, assessment and user adoption - Archive ouverte HAL Accéder directement au contenu
Communication Dans Un Congrès Année : 2015

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

Résumé

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".
Fichier principal
Vignette du fichier
2015-EGOV-Khatchatourov_Privacy_in_Digital_Identity.pdf (577.36 Ko) Télécharger le fichier
Origine : Fichiers produits par l'(les) auteur(s)
Loading...

Dates et versions

hal-01283997 , version 1 (07-03-2016)

Licence

Paternité

Identifiants

Citer

Armen Khatchatourov, Maryline Laurent, Claire Levallois-Barth. Privacy in digital identity systems: models, assessment and user adoption. 14th International Conference on Electronic Government (EGOV), Aug 2015, Thessaloniki, Greece. pp.273-290, ⟨10.1007/978-3-319-22479-4_21⟩. ⟨hal-01283997⟩
971 Consultations
740 Téléchargements

Altmetric

Partager

Gmail Facebook X LinkedIn More