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Fuzzy Rule-Based Trust Management Model for the Security of Cloud Computing
Mathematical Problems in Engineering Pub Date : 2021-06-15 , DOI: 10.1155/2021/6629449
Mona Soleymani 1 , Navid Abapour 2 , Elham Taghizadeh 3 , Safieh Siadat 4 , Rasoul Karkehabadi 5
Affiliation  

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.

中文翻译:

基于模糊规则的云计算安全信任管理模型

在过去的几年里,由于解决大规模计算问题的好处,研究人员已经开发了多云基础设施。多云中与信任相关的问题包括更复杂的内容和新问题。本文提出了一种新的多云环境信任管理框架。所提出的框架使用客观和主观信任值的组合来计算云服务提供商的信任值。这个新框架可以识别和纠正来自其他反馈的虚假反馈。该框架的另一个优点是应用模糊规则来计算信任值。本文模拟了所提出框架的两个主要组成部分。仿真结果证实了应用组件的重要作用。还,本文提出了一个与其他框架(基于反馈的模型、基于SLA的模型和多云模型)相比的框架。仿真结果表明,所提出的框架增加了信任值而不是其他模型。此外,与其他模型相比,我们的框架提供了更好的平均信任值。
更新日期:2021-06-15
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