Insights into Digital Identity Dynamics through Personal Digital Twins
Files
Date
2025-01-07
Contributor
Advisor
Department
Instructor
Depositor
Speaker
Researcher
Consultant
Interviewer
Narrator
Transcriber
Annotator
Journal Title
Journal ISSN
Volume Title
Publisher
Volume
Number/Issue
Starting Page
7327
Ending Page
Alternative Title
Abstract
The digital transformation has resulted in a web of complex systems, creating a tangled mesh of context-specific digital identities for users to manage. Despite the prevalence of privacy risks, users often remain unaware of the extent to which their personal data is used by identity providers and relying parties. Drawing on design science and network analysis techniques, this paper introduces a hierarchical node architecture and data flow model to highlight the interconnectedness of partial digital identities and provides a tool to support the assessment and evaluation process. We used the developed methods to evaluate the digital footprint of ten participants, gaining insights into digital identity dynamics.
Description
Keywords
Security and Privacy Aspects of Human-Computer-Interactions, digital footprint, digital identity, network theory, privacy, quantification
Citation
Extent
10
Format
Geographic Location
Time Period
Related To
Proceedings of the 58th Hawaii International Conference on System Sciences
Related To (URI)
Table of Contents
Rights
Attribution-NonCommercial-NoDerivatives 4.0 International
Rights Holder
Local Contexts
Email libraryada-l@lists.hawaii.edu if you need this content in ADA-compliant format.