Toward an Attribute-Based Digital Identity Modeling for Privacy Preservation
This work addresses privacy preservation in digital identity systems, which is crucial for users and organizations, but it appears incremental as it builds on existing definitions and representations.
The paper tackles the challenge of defining and representing digital identity by proposing an attribute-based model that addresses privacy, security, and identity theft issues, aiming to provide a more implementable solution than previous generic approaches.
Digital identity is a multidimensional, multidisciplinary, and a complex concept. As a result, it is difficult to apprehend. Many contributions have proposed definitions and representations of digital identity. However, lots of them are either very generic and difficult to implement or do not take into account privacy issues. Seeing how important privacy master is, it becomes a necessity to rethink digital identity in order to take into account privacy issues. So, this paper aims at proposing an attribute-based digital identity vision for privacy preservation purposes. The proposed model takes into account identity theft, security, and privacy.