Abstract
Mobile Id approach provides a contactless and secure identification process. Standardization towards a common scheme is important to ensure wide-spread adoption through cross-country and cross-region interoperability. Therefore mobile identification has seen enormous attention both by platform vendors and researchers. In this work we discuss a novel mobile identification approach that is based on oblivious identity to ensure improved privacy protection and identification data at rest protection. The mobile identification approach addresses the development of the interfaces to connect users’ identities to their real-world physical identities by integrating with officially issued eIDs through bridging with eIDAS, STORK, or electronic driving licenses. In particular we present the initial validation for mobile identification of distributed virtual iDP cryptographic infrastructure for mobile ID use cases. The key aim is to show the particular steps needed in order to perform thorough testing in new cryptographic approaches that aim to be applied in real life application through presented first pilots. Evaluating these prototypes and also evaluating them with other stakeholders in order to identify a wider deployment for business development and exploitation. Initial testing and validation results of the proposed mobile identification approach are encouraging and promising showing strong privacy preservation outcomes.
[Type][CrossLinking]The original version of this chapter was revised: Affiliation details of author “Georgia Sourla” have been corrected. The correction to this chapter is available at https://doi.org/10.1007/978-3-030-53949-8_17
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Change history
18 September 2020
In the original version of the book, the following belated correction has been incorporated:
In Chapter 15, the affiliation of author “Georgia Sourla” has been changed from “Scytales, Argyroupoli, Sweden” to “Scytales AB, Taby, Sweden”.
The chapter and book have now been updated with the change.
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Acknowledgment
The authors of this paper would like to thank the University of Piraeus Research Center for the financial support of this research paper. This approach has also received funding from the European Union’s Horizon 2020 research and innovation program under grant agreement No 786725 (OLYMPUS project).
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Sourla, G., Sakkopoulos, E. (2020). Deploying Personalized Oblivious Mobile Identity. In: Virvou, M., Nakagawa, H., C. Jain, L. (eds) Knowledge-Based Software Engineering: 2020. JCKBSE 2020. Learning and Analytics in Intelligent Systems, vol 19. Springer, Cham. https://doi.org/10.1007/978-3-030-53949-8_15
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