Utilization Of Compact Three-Layered Model For Privacy Preserving Of Storage Data In Cloud Computing

Abstract

Cloud services are cloud computing (CC) applications and resources that are distributed on the Internet or a CC platform, allowing users to access at any time. But the user may face some issues while analyzing and selecting cloud service providers (CSP). As a result, it is critical to research and develop an objective and effective trust model in order to increaseuser interaction and satisfaction success rates. The growing importance of privacy preservation along with trust in CC atmospheres protects sensitive data and sustains user confidence in the privacy concerns. However, the dependability of such systems is regularly impacted by issues with trust assessment security vulnerabilities, and resource allocation.This research proposes a novel trust model, and key strengthening with privacy-preserving method called data privacy and trust preserving triple-layered storage model (DPTPTS). It enables efficient real-time data handling, supports scalable infrastructure, and ensures better use of available resources. A trust-based framework assists users in selecting suitable cloud service providers (CSPs) by considering important factors such as data storage and processing requirements. One of the main advantages lies in evaluating the strength of encryption keys used to protect confidential information. This helps in defending against unauthorized access and security breaches. By enhancing key strength, users can maintain privacy and ensure data protection in cloud environments. Applying this optimized key management approach across multiple cloud platforms results in improved performance and stronger data security.