An Efficient Access Control Optimizing Technique Based on Local Agency in Cryptographic Cloud Storage

Abstract

With analyzing cloud storage data security requirements, in this paper we focus on data privacy protection in cloud storage, and proposed a measure to optimize the efficiency of access control in cryptographic cloud storage. For the main users that use cloud storage services are enterprise and the community users, they have the characteristics in common that they manage their data access rights by the mode of hierarchical classification. Because of this, combined ciphertext policy attribute-based encryption (CP-ABE) algorithm and hierarchical identity-based encryption (HIBE) algorithm, we proposed to identify users by both precise identity and attribute in the process of making data access control strategy, and use hierarchy when generate keys. The advantage of this is that it can effectively protect the data privacy in cloud storage, and support precise identity and attribute access control, and fine-grained access. Furthermore, for the purpose of reducing cost of access cloud storage, we proposed an efficiency access control optimizing technique based on local agency, which can replace users to complete the ciphertext access control related operations, and cache frequently accessed data, effectively reduce the impact of using the ciphertext access control mechanisms. Experiments show that the scheme can reduce additional cost of cloud storage data protection, and suitable for using in actual scenes of cloud storage.