Abstract
In the last few years, due to the benefit of solving large-scale computational problems, researchers have been developed multicloud infrastructures. The trust-related issue in multiclouds includes more complicated content and new problems. A new trust management framework for multicloud environments is proposed in this article. The proposed framework used a combination of objective and subjective trust values to calculate the cloud service provider’s trust values. This new framework can identify and rectify fake feedbacks from other feedbacks. Another advantage of this framework is applying fuzzy rules to calculate trust values. Two main components of the proposed framework are simulated in this paper. The simulation results confirm the important role of applied components. Also, this paper proposed a framework compared with other frameworks (feedback-based model, SLA-based model, and multicloud model). Simulation results show the proposed framework increased trust values rather than other models. Also, compared with other models, our framework gives better mean trust values.
Highlights
In recent years, cloud computing has attracted the attention of many researchers around the world, and various programs, infrastructures, and frameworks have been created for it by several companies in the world [1,2,3,4]
The simulation results of the demand trust evaluation agent are illustrated
Because the assignment of the nearest cloud service provider to the request of the cloud service user is done using the request trust evaluation components, this will lead to higher cloud service user satisfaction and a higher level of trust of cloud service providers. e number of articles and studies that have provided a trust management framework in multicloud environments is limited. e most complete and closest model that is presented in multicloud environments for trust management is the multicloud model that the proposed framework presented in this study has advantages such as detection fake feedback compared with that in the results section of the proposed framework
Summary
Cloud computing has attracted the attention of many researchers around the world, and various programs, infrastructures, and frameworks have been created for it by several companies in the world [1,2,3,4]. We have tried to present a trust management model in multicloud environments that uses both objective and subjective parameters to calculate trust values. It looks at the category of trust instead of a one-dimensional category in a multidimensional way and selects and assigns the cloud service provider that is closest to the cloud service user request. Ey proposed a new method for this purpose, which gives cloud users the ability to assess the reliability of cloud service providers Simulations of their proposed method showed that the accuracy of the evaluations performed by these researchers was higher compared with other works. A limited number of these models are able to detect fake feedback models. e main purpose of this paper is to provide a framework for trust management in multicloud environments using fuzzy logic to enhance security in these networks. e research questions that this research follows are how can trust management help to enhance security in multicloud networks? Is it possible to calculate trust values from the combination of subjective parameters and objective parameters together using fuzzy logic? How can we distinguish fake feedback from nonfake feedbacks in the proposed framework to increase the accuracy of trust values?
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