Article ID Journal Published Year Pages File Type
13431141 Future Generation Computer Systems 2020 17 Pages PDF
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
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