Abstract
Cloud services are cloud computing resources and applications deployed on the Internet or cloud computing platform, and users can access the required cloud services at any time. However, users face the diversity and complexity of quality of service (QoS) when evaluating and selecting cloud services. Therefore, it is important to study and establish an effective and objective trust model to improve user satisfaction and interaction success rate. In this paper, a model based on combining weights and gray correlation analysis is proposed. Firstly, direct trust, recommendation trust, and reputation together form a comprehensive trust, resulting in a more accurate overall trust. Second, rough set theory and analytic hierarchy process (AHP)-based method are used for the direct trust. Meanwhile, the degree of similarity recommendation trust is calculated by a gray relational analysis method. In order to ensure the accuracy of direct trust, this paper proposes a dynamic trust update mechanism. Finally, the simulation experiment is carried out to verify that the cloud services trust evaluation model (CSTEM) is more robust than the other three methods. It protects against malicious entities; at the same time, it can increase user satisfaction and interaction success rate.
Highlights
Google introduced the concept of cloud computing in 2006
The cloud services trust evaluation model (CSTEM) is based on combining weights and gray correlation analysis
The direct trust considers transaction time and transaction amount, the objective weight is calculated by rough set theory, and the subjective weight is calculated using analytic hierarchy process (AHP), so the final direct trust is very accurate and effective
Summary
Google introduced the concept of cloud computing in 2006. The cloud computing center uses virtualization technology to organize a large number of idle resources, forming a huge “virtual resource pool”, and users can request personalized cloud services through the network. The trust problem of cloud computing is the most concerned issue of most enterprises, and it is difficult to select cloud services. Home and foreign scholars have conducted research on the trustworthiness evaluation and selection of cloud services. Tang et al [3] proposed a trustworthiness cloud service selection framework and developed corresponding evaluation middleware. The reputation evaluation and selection research of cloud services has a good theoretical basis. (3) In order to ensure the accuracy of direct trust, a dynamic trust update mechanism is proposed
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