An efficient SG-DACM framework for data integrity with user revocation in role based multiuser cloud environment

Abstract

The contemporary world activates with a enormous data that are stored and managed in the cloud server. For every cloud environment, there will be multi-users to access the data and group managers (GM) to regulate it. The major concern that evolved out of the cloud environment is to provide data security. Unfortunately with the recurrent changes, providing access control for the multiuser membership is the challenge and ensuring the data integrity in the cloud becomes a tedious task. Especially in the role-based user control, the revocation generates high computational and communication overheads. For handling these issues, a novel Sign crypto Group Data Access Control Mechanism (SG-DACM) framework has been proposed based on the user’s role. It involves three significant processes: 1. Random Bit Signcryption Generation (RBSG), that generate the digital signature to fortify the mechanism of group access and monitor the user revocation activities. 2. Factorial Prime Based Data Control (FPBDC) for preserving the data integrity through the cryptic mechanism. 3. Efficient Storage Retrieval (ESR) is performed for making the storage and retrieval of the processed data efficiently. The proposed framework is assessed for its performance metrics and related with the existing models. The outcome revealed that there was a reduction in communication and computation overheads. It is evident that the SG-DACM framework is efficient for the issues concerning the revoked users in the cloud environment.