John Jomina, John Singh K
School of Computer Science Engineering and Information Systems, Vellore Institute of Technology, Vellore, Tamil Nadu, 632014, India.
Sci Rep. 2024 Aug 4;14(1):18028. doi: 10.1038/s41598-024-69134-8.
Users can purchase virtualized computer resources using the cloud computing concept, which is a novel and innovative way of computing. It offers numerous advantages for IT and healthcare industries over traditional methods. However, a lack of trust between CSUs and CSPs is hindering the widespread adoption of cloud computing across industries. Since cloud computing offers a wide range of trust models and strategies, it is essential to analyze the service using a detailed methodology in order to choose the appropriate cloud service for various user types. Finding a wide variety of comprehensive elements that are both required and sufficient for evaluating any cloud service is vital in order to achieve that. As a result, this study suggests an accurate, fuzzy logic-based trust evaluation model for evaluating the trustworthiness of a cloud service provider. Here, we examine how fuzzy logic raises the efficiency of trust evaluation. Trust is assessed using Quality of Service (QoS) characteristics like security, privacy, dynamicity, data integrity, and performance. The outcomes of a MATLAB simulation demonstrate the viability of the suggested strategy in a cloud setting.
用户可以使用云计算概念购买虚拟化计算机资源，这是一种新颖且创新的计算方式。与传统方法相比，它为信息技术和医疗行业带来了诸多优势。然而，云服务使用者（CSUs）和云服务提供商（CSPs）之间缺乏信任阻碍了云计算在各行业的广泛采用。由于云计算提供了广泛的信任模型和策略，因此有必要使用详细的方法对服务进行分析，以便为不同类型的用户选择合适的云服务。为了实现这一点，找到各种对评估任何云服务既必要又充分的综合要素至关重要。因此，本研究提出了一种基于模糊逻辑的准确信任评估模型，用于评估云服务提供商的可信度。在此，我们研究模糊逻辑如何提高信任评估的效率。使用诸如安全性、隐私性、动态性、数据完整性和性能等服务质量（QoS）特征来评估信任。MATLAB仿真结果证明了所提策略在云环境中的可行性。
