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Analysing attribute aggregation models in federated identity management

This paper presents a comparative analysis of different attribute aggregation models against a set of requirements in the settings of the Federated Identity Management (FIM). There are several attribute aggregation models currently available which allow the user to collate attributes from multiple identity providers (IdP in short) in a single service. These models impose different novel requirements which have never been analysed before and there lacks a thorough analysis of these models that will compare them side-by-side against a set of requirements. We aim to fill in these gaps in this work. We have formulated a set of trust, functional, security and privacy requirements that are needed for each model and shown the interlink between these requirements. These requirements have been used to compare the models side-by-side in tabular forms which would allow the readers to instantly identify the requirements for each model, the advantages it offers and the weaknesses it has.