A secure storage method for massive network cloud data based on CP-ABE algorithm

Abstract

Addressing the limitations of existing encryption methods that rely on a single fixed key and struggle to accommodate the diverse access and secure storage demands of massive network cloud data, this paper proposes a secure storage method for massive network cloud data based on the CP-ABE algorithm. A data distribution strategy based on consistent hashing and dynamic weight adjustment is designed, deploying a multi-copy redundant storage network to achieve efficient storage and access. Access policies are formulated based on data attributes, and the CP-ABE algorithm enables precise matching between user attributes and policies, supporting fine-grained permission control. A hierarchical key management mechanism based on elliptic curves is implemented, combined with dynamic update policies, to ensure data security throughout its entire lifecycle. Experiments demonstrate: When data scale increases to 200GB, the encryption time of this method rises gradually. In terms of storage integrity and high-concurrency read/write performance, this method significantly outperforms the comparison methods. By deeply integrating attribute encryption with a dynamic storage architecture, this approach enhances system scalability and access control flexibility while ensuring security.