Data Security Model for Cloud Computing Using VGRT Methodology

Cloud computing has become a popular solution for storing and managing data due to its flexibility, scalability, and cost-effectiveness. However, it also introduces significant challenges related to data security, access control, and trust, especially in multi-user environments. This paper presents a structured data security model based on the Verification–Generation–Retrieval–Trust (VGRT) methodology. The proposed approach ensures secure data handling by integrating four key components: verifying user identity, securely generating encrypted data, enabling controlled data retrieval, and establishing trust through data integrity validation. In this model, data is encrypted before storage, and access is granted only to authorized users through multi-user private key verification. A database is used to manage encrypted data and access-related information, ensuring transparency and control. Experimental results demonstrate that the proposed VGRT-based model significantly improves data confidentiality, access control, and trust in cloud computing environments.