STE-AMM: Secret Twist Encryption Standard Access Mechanism Model in Cloud Environment

Abstract

The advent of the cloud computing has provided the opportunity for various organizations and enterprises to store the data effectively at low cost. With the advancement, the cloud environment manages to have mutli-users to access the data in the cloud based on their request. The requests and the activities of users are monitored and controlled by the group manager based on the roles of them. However due to the dynamic nature of the multi -user clouds result in challenges for ensuring the security of the cloud. Additionally, the revocation of existing users often results in increased overheads. A novel framework of Secret Twisted Encryption based access mechanism model (STE-AMM) is proposed to resolve these issues with two modules. The Square Decisional Diffie-Hellman (SDDH) technique is employed to generate the digital signature for users and used to govern the user in group module. The secret keys to secure the data is generated with the STE algorithm which is the improved Advanced Encryption Standard (AES) and used in the data module. The proposed STE-AMM framework is implemented and evaluated with the metrics of time and cost. The obtained results showed that the performance of the proposed framework is effective than the existing models for securing the data in the cloud. The proposed framework may be enhanced with random size for signature and security key.