对云服务提供商的信任价值评估,使用基于模糊推理的分析过程.
1School of Computer Science Engineering and Information Systems, Vellore Institute of Technology, Vellore, Tamil Nadu, 632014, India.
Scientific reports
|August 4, 2024
概括
本研究介绍了一种基于模糊逻辑的信任评估模型,以提高云服务采用率. 它通过评估服务质量 (QoS) 因素来解决云用户和提供商之间的缺乏信任问题.
科学领域:
- 计算机科学 计算机科学
- 信息安全 信息安全
- 云计算 云计算 云计算 云计算
背景情况:
- 云计算为IT和医疗保健提供了显著的优势,但由于云服务用户 (CSU) 和云服务提供商 (CSP) 之间的信任问题,它面临着采用障碍.
- 现有的信任模式各不相同,需要基于用户需求选择合适的云服务的强有力的方法.
- 一个全面的评估框架对于评估云服务可信度至关重要.
研究的目的:
- 提出一个准确的,基于模糊逻辑的信任评估模型来评估云服务提供商 (CSP) 的可信度.
- 分析模糊逻辑对提高云环境中信任评估效率的影响.
- 为全面的云服务评估确定必要的要素.
主要方法:
- 基于模糊逻辑的信任评估模型的开发.
- 使用服务质量 (QoS) 参数评估信任,包括安全性,隐私,动态性,数据完整性和性能.
- 使用MATLAB.使用拟议模型的模拟.
主要成果:
- 基于模糊逻辑的模型有效评估云服务提供商的可信度.
- 模糊逻辑提高了云计算中信任评估的效率和准确性.
- 马特拉布模拟验证了拟议模型在云环境中的可行性.
结论:
- 拟议的模糊逻辑模型为评估云服务可信度提供了一个可行的解决方案.
- 通过强大的评估模型解决信任问题,可以加速跨行业的云计算采用.
- 服务质量 (QoS) 特性是建立对云环境的信任的关键指标.
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