A Taxonomic Approach to Understanding Emerging Blockchain Identity Management Systems
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Identity management systems (IDMSs) are widely used to provision user identities while managing authentication, authorization, and data sharing both within organizations as well as on the Internet more broadly. Traditional identity systems typically suffer from single points of failure, lack of interoperability, and privacy issues such as encouraging mass data collection and user tracking. Blockchain technology has the potential to support novel data ownership and governance models with built-in control and consent mechanisms, which may benefit both users and businesses by alleviating these concerns; as a result, blockchain-based IDMSs are beginning to proliferate. This work categorizes these systems into a taxonomy based on differences in architecture, governance models, and other salient features. We provide context for the taxonomy by describing related terms, emerging standards, and use cases, while highlighting relevant security and privacy considerations.
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