Towards a Metric for Confidence in Identity

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4 years 8 months
Full name
Ryan Anderson
Abstract
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Determining Identity of a person or system can be a difficult task given the size and complexity of the space. Automated agents can assist Identity providers in their efforts to verify a user’s identity before issuing a “credential” (e.g. username, email, ID#, etc.) required to participate in the given network. This paper describes an algorithm designed to contribute additional confidence to an Identity used in distributed interactions. Despite currently available best efforts to guarantee the veracity of these credentials, there are still gaps exemplified in use of identities for compromise. This is a critical problem to distributed online interactions. By defining an approach to gain confidence in the Identity of each user in the network, the entire large-scale network can be made more secure.

Link to publication

CITATION:
Soeder, B. A., and Barber, K. S., Proceedings of the 6th International Conference on Agents and Artificial Intelligence (ICAART), Vol. 2, pp. 201-208. 2014.

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Towards a Metric for Confidence in Identity, B. A. Soeder, and , K. Suzanne Barber, Proceedings of the 6th International Conference on Agents and Artificial Intelligence (ICAART), Vol. 2, pp. 201-208. 2014