CloudArmor: Supporting Reputation-Based Trust Management for Cloud
Services
Abstract
Trust management is one of the most challenging issues for the adoption and
growth of cloudcomputing.
The highly dynamic, distributed, and non-transparent nature of cloud services introduces several challenging issues
such as privacy, security, and availability. Preserving consumers' privacy is
not an easy task due to the sensitive information involved in the interactions
between consumers and the trust management service. Protecting cloud services against
their malicious users (e.g., such users might give misleading feedback to
disadvantage a particular cloud service) is a difficult problem. Guaranteeing the
availability of the trust management service is
another significant challenge because of the dynamic nature of cloud environments. In this article, we
describe the design and implementation of CloudArmor, a reputation-based trust management framework that provides a set of
functionalities to deliver trust as a service (TaaS), which includes i) a novel
protocol to prove the credibility of trustfeedbacks and preserve users' privacy, ii) an
adaptive and robust credibility model for measuring the credibility of trust feedbacks to protect cloud services from malicious users and to compare
the trustworthiness of cloud services, and iii) an availability model to manage the
availability of the decentralized implementation of the trust management service.
The feasibility and benefits of our approach have been validated by a prototype
and experimental studies using a collection of real-worldtrust feedbacks on cloud services.
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