Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
13431141 | Future Generation Computer Systems | 2020 | 17 Pages |
Abstract
Despite several efforts in the last years to make Identity Management Systems (IdMs) reliable, secured and privacy-respectful, identity-related cybercrimes are still continuously expanding. Current IdMs lack of proper security and privacy mechanisms that can holistically manage user's privacy, strong authentication and ID-proofing mechanisms based on biometrics, usage of breeder documents, while maintaining usability for mobile, online or face-to-face scenarios. To fill this gap, the ARIES EU project aims to set up a reliable identity ecosystem, combining mature technologies for meet highest level of assurance, such as biometrics or use of secure elements, with innovative credential derivation mechanisms. ARIES has devised and implemented a privacy-preserving and user-centric Identity Management framework as well as associated management practices that ensure usability and flexibility for identity management processes. This paper presents ARIES results obtained after the successful development and validation of the ARIES IdM System in the associated use cases.
Related Topics
Physical Sciences and Engineering
Computer Science
Computational Theory and Mathematics
Authors
Jorge Bernal Bernabe, Martin David, Rafael Torres Moreno, Javier Presa Cordero, Sébastien Bahloul, Antonio Skarmeta,