Cloud Data Deduplication Methods Supporting Popularity-Based Partitioning and Access Control

Data deduplication technologies have widespread applications in cloud storage systems. They can effectively save network bandwidth during file uploads and downloads, improving the storage efficiency of cloud servers. However, data in cloud servers is often stored in encrypted form, and differing encryption keys can result in the same file data generating different ciphertexts. Therefore, efficient data security deduplication techniques have become a research hotspot in the field of cloud storage.To address the issues existing in current cloud storage encrypted data deduplication, this paper proposes a cloud data deduplication method that supports popularity-based partitioning and access control. In this method, data is partitioned based on its popularity. For high-privacy non-popular data, an encryption deduplication protection scheme with access control and key updates is employed. By combining access control with Proof of Ownership, the method effectively prevents unauthorized data access and ownership deception attacks by adversaries. For low-privacy popular data, simple and efficient convergent encryption is used.Performance evaluation results indicate that the proposed method achieves efficient data encryption, decryption, and key updating.