Secure and reliable management of identities has become one of the greatest challenges facing cloud computing today, mainly due to the huge number of new cloud-based applications generated by this model, which means more user accounts, passwords, and personal information to provision, monitor, and secure. Currently, identity federation is the most useful solution to overcome the aforementioned issues and simplify the user experience by allowing efficient authentication mechanisms and use of identity information from data distributed across multiple domains. However, this approach creates considerable complexity in managing trust relationships for both the cloud service providers and their clients. Poor management of trust in federated identity management systems brings with it many security, privacy and interoperability issues, which contributes to the reluctance of organizations to move their critical identity data to the cloud. In this paper, we aim to address these issues by introducing a novel trust and identity management model based on the Blockchain for cloud identity management with security and privacy improvements

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With the proliferation of Cloud-based services, Federated Identity Management (FIM) has gained considerable attention in recent years. It is considered as a promising approach to facilitate secure resource sharing between collaborating partners in the Cloud. However, current FIM frameworks such as OpenID, SAML, Liberty Alliance, Shibboleth and WS-Federation do not define a suitable trust model to allow dynamic and agile federation establishment. Hence, they cannot be deployed in dynamic and open environments like Cloud Computing. In this paper, we address this issue by presenting a new dynamic trust model that fulfils Cloud requirements. The proposed model introduces the theory of Fuzzy Cognitive Maps (FCM) into modelling and evaluating unknown entities trustworthiness in FIM systems.