An Elegant Privacy Preservation and De-Duplication Model With Elliptic Revocation Cryptography (PPD-ERC) Framework for Cloud Security

Abstract

Due to the rapid advancement of communication technology, ensuring cloud data privacy and security is now regarded as one of the most important and difficult tasks. The traditional works are highly concentrated on creating cryptographic models for enhancing cloud system security. However, it encountered issues and problems because of the following factors: increased system overhead, time and storage requirements, complex mathematical operations, and ineffective data handling. In order to guarantee the security, privacy, and access control of cloud data sharing, the proposed work aims to develop a novel framework known as the Privacy Preservation and De-duplication Model with Elliptic Revocation Cryptography (PPD-ERC). This framework includes the entities of Cloud User (CU) (i.e., owner or receiver), Cloud Encryption Server (CES), sub-CES, and Trusted Authority. Here, the lightweight ERC methodology encrypts user data using the private and public key pair. Then, the convergent keys are distributed to the blockchain, and the CU uses the Share algorithm for splitting the convergent keys. The CES validates the user authenticity based on the access controlling mechanism, which allows only the authorized users to obtain the data from server. Moreover, data de-duplication is performed to avoid redundant encrypted data storage in the cloud system, and it increases the processing speed, minimizes the storage space, and optimizes the key generation process. During performance analysis, various evaluation metrics have been used to validate and compare the results of the proposed PPD-ERC mechanism.