Secure Data Storage in Cloud: A Fuzzy Logic-Based Selection Model

Abstract

Cloud ranking plays a pivotal role in assessing and comparing cloud service providers based on critical parameters such as Performance, Security, Management, and overall Cloud Rank. This study proposes a fuzzy-based cloud ranking model that leverages fuzzy logic to effectively handle qualitative inputs and provide transparent membership function visualizations. It categorize cloud services into distinct levels of performance, security measures, and maintenance capabilities, the model supports informed decision-making in selecting suitable cloud solutions for secure data storage in cloud. The simulation results demonstrate the model's efficacy in facilitating different choices that align with diverse user requirements and application needs in cloud computing environments.