Biblio

As a new service-oriented computing paradigm, cloud computing facilitates users to share and use resources. However, due to the dynamic and openness of its operating environment, only relying on traditional identity authentication technology can no longer fully meet the security requirements of cloud computing. The trust evaluation of user behavior has become the key to improve the security of cloud computing. Therefore, in view of some problems existing in our current research on user behavior trust, this paper optimizes and improves the construction of the evaluation index system and the calculation of trust value, and proposes a cloud end-user behavior trust evaluation model based on sliding window. Finally, the model is proved to be scientific and effective by simulation experiments, which has certain significance for the security protection of cloud resources.

Cloud federation is a future evolution of Cloud computing, where Cloud Service Providers (CSP) collaborate dynamically to share their virtual infrastructure for load balancing and meeting the Quality of Service during the demand spikes. Today, one of the major obstacles in adoption of federation is the lack of trust between Cloud providers participating in federation. In order to ensure the security of critical and sensitive data of customers, it is important to evaluate and establish the trust between Cloud providers, before redirecting the customer's requests from one provider to other provider. We are proposing a trust evaluation model and underlying protocol that will facilitate the cloud providers to evaluate the trustworthiness of each other and hence participate in federation to share their infrastructure in a trusted and reliable way.