Trust Evaluation Enhancing Security in the Cloud Market Based on Trust Framework Using Metric Parameter Selection
Qais Al-Na’amneh, Mahmoud Mohammad Aljawarneh, Rahaf Hazaymih, Laith Alzboon, Dena Abu Laila, Sahel Albawaneh · Advances in computational intelligence and robotics book series · 2025
Cloud services have become popular in global technology because they let users rent computers, networks, and storage infrastructure resources that are specific to their needs., trust in the cloud relationship is essential before interaction takes place between cloud providers and consumers. The concept of trust encompasses multiple elements. The usability, security, scalability, and availability characteristics of IaaS, PaaS, SaaS, and DaaS are among these dimensions. Fuzzy characteristics and linguistic terminology characterize each of these dimensions. This chapter applies fuzzy-set theory to create models for each dimension of IaaS services. The Mamdani fuzzy-inference approach is used to assess the trustworthiness of cloud providers generally. Evaluating cloud metrics across multiple domains can be challenging. In this work, we propose a trust framework. We consider level trust; the node's level trust Score uses a fuzzy model to evaluate trust in cloud computing. The proposed model is evaluated for its efficacy and resilience through tests and findings.