2019 IEEE Symposium Series on Computational Intelligence (SSCI) | 2019

Using Probabilistic Attribute Aggregation for Increasing Trust in Attribute Assurance

 
 
 

Abstract


Identity management is an essential cornerstone of securing online services. Service provisioning relies on correct and valid attributes of a digital identity. Therefore, the identity provider is a trusted third party with a specific trust requirement towards a verified attribute supply. This trust demand implies a significant dependency on users and service providers. We propose a novel attribute aggregation method to reduce the reliance on one identity provider. Trust in an attribute is modelled as a combined assurance of several identity providers based on probability distributions. We formally describe the proposed aggregation model. The resulting trust model is implemented in a gateway that is used for authentication with self-sovereign identity solutions. Thereby, we devise a service provider specific web of trust that constitutes an intermediate approach bridging a global hierarchical model and a locally decentralized peer to peer scheme.

Volume None
Pages 633-640
DOI 10.1109/SSCI44817.2019.9003094
Language English
Journal 2019 IEEE Symposium Series on Computational Intelligence (SSCI)

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