Development of Privacy Preservation Scheme in Cloud Data Storage Using Hybrid Fully Homomorphic with Elgamal Cryptography Technique

Cloud system allows for the use of data privacy protection and security is a major critical task in modern days. To enhance the security of the data, sensitive data privacy must be protected from unwanted data access. Therefore, different key generations, decryption, and encryption methods are suggested in the existing works for the use of the cloud privacy preservation approach. The threats or security gaps are still increasing in cloud computing platforms. Here, the primary problem of Cloud Data Storage (CDS) is cloud data protection and it is owing to the third-party rule. Due to the challenges of the existing model, this work proposed a novel encryption mechanism for privacy-preserving the data in the cloud. Further, the cryptography technique can manage the cloud data firmly. In this model, the Hybrid Fully Homomorphic with Elgamal (HyFHE) method is used to protect the data. With this approach, decryption and encryption can be helpful to handle and access data within the cloud area. By evaluating the proposed model, the total computational time of the suggested model is 53.3%, 26.31%, 57.57%, and 22.22% more effective than DES, RSA, FHE, and EA and it takes less time compared to the existing model. Finally, the experimental results declare that the proposed system proves that the developed model maintains the privacy preservation of cloud data. The implications of the privacy preservation model in cloud data enhances security and compliance and also shapes the trust dynamics between cloud providers and users.