A Secure and Scalable Encryption Framework for Cloud Data Protection and Storage Optimization

Abstract

In this study, we propose a hybrid encryption framework combining RSA and ECC cryptographic techniques to secure cloud-stored keywords. While this approach offers robust encryption and enhances cloud data safety, the risk of forgery remains a concern. To address this, researchers have explored fragmentation-based solutions, which involve dividing data into smaller fragments, encrypting them, and distributing them across multiple cloud servers to prevent unauthorized access. However, existing efforts often overlook the potential knowledge loss caused by fragmentation, emphasizing the need for a tailored approach to mitigate this challenge. Our framework introduces a data-type-specific fragmentation strategy designed to accommodate the heterogeneity and size of cloud-stored data. This approach not only minimizes the risk of data loss but also optimizes cloud storage utilization. To evaluate its effectiveness, we compare the proposed framework against state-of-the-art random fragmentation techniques and traditional non-fragmentation methods, employing multiple performance metrics. The results highlight the potential of our solution to enhance both data security and cloud storage efficiency.