Evaluation of Privacy-ABC Technologies - a Study on the Computational Efficiency

Abstract : Privacy-enhancing attribute-based credential (Privacy-ABC) technologies use different cryptographic methods to enhance the privacy of the users. This results in important practical differences between these technologies, especially with regard to efficiency, which have not been studied in depth, but is necessary for assessing their suitability for different user devices and for highly dynamic scenarios. In this paper, we compare the computational efficiency of two prominent Privacy-ABC technologies, IBM’s Idemix and Microsoft’s U-Prove, covering all known Privacy-ABC features. The results show that overall presentation is in general is more efficient with Idemix, whereas U-Prove is more efficient for the User side (proving) operations during the presentation, and overall when there are more attributes in a credential. For both technologies we confirmed that inspectability, non-revocation proofs, and inequality predicates are costly operations. Interestingly, the study showed that equality predicates, the number of attributes in a credential, and attribute disclosure are done very efficiently. Finally, we identified a number of specific trust issues regarding Privacy-ABC technologies.
Type de document :
Communication dans un congrès
Sheikh Mahbub Habib; Julita Vassileva; Sjouke Mauw; Max Mühlhäuser. 10th IFIP International Conference on Trust Management (TM), Jul 2016, Darmstadt, Germany. IFIP Advances in Information and Communication Technology, AICT-473, pp.63-78, 2016, Trust Management X. 〈10.1007/978-3-319-41354-9_5〉
Liste complète des métadonnées

Littérature citée [32 références]  Voir  Masquer  Télécharger

https://hal.inria.fr/hal-01438349
Contributeur : Hal Ifip <>
Soumis le : mardi 17 janvier 2017 - 16:08:02
Dernière modification le : mardi 17 janvier 2017 - 16:18:27
Document(s) archivé(s) le : mardi 18 avril 2017 - 15:23:51

Fichier

 Accès restreint
Fichier visible le : 2019-01-01

Connectez-vous pour demander l'accès au fichier

Licence


Distributed under a Creative Commons Paternité 4.0 International License

Identifiants

Citation

Fatbardh Veseli, Jetzabel Serna. Evaluation of Privacy-ABC Technologies - a Study on the Computational Efficiency. Sheikh Mahbub Habib; Julita Vassileva; Sjouke Mauw; Max Mühlhäuser. 10th IFIP International Conference on Trust Management (TM), Jul 2016, Darmstadt, Germany. IFIP Advances in Information and Communication Technology, AICT-473, pp.63-78, 2016, Trust Management X. 〈10.1007/978-3-319-41354-9_5〉. 〈hal-01438349〉

Partager

Métriques

Consultations de la notice

62