A novel data deduplication scheme for encrypted cloud databases

Jung Shian Li, I. Hsien Liu, Chao Yuan Lee, Chu Fen Li, Chuan Gang Liu

Research output: Contribution to journalArticlepeer-review

5 Citations (Scopus)


As the demand for data sharing and complex access-control policies continues to grow, traditional encryption mechanisms, which are generally established using a Public Key Infrastructure, face the problem of massive processing overheads and huge network bandwidth consumption. Attribute-Based Encryption (ABE) schemes have been proposed as a potential means of addressing these issues and have attracted great attention in recent years. Most previous studies on ABE focus on issues such as the revocation mechanism, multi-authority, the access structure design, and traceability. However, very few studies consider the storage efficiency problem and the present study proposes a novel data deduplication scheme based on ciphertext-policy ABE with convergent encryption and block-level data. The scheme can be deployed in third-party semi-trusted environments, and not only provides flexible, fine-grained access control over encrypted data, but also allows for the in-line elimination of redundancies in order to save cloud storage space. The experimental results show that the proposed scheme has an acceptable computational overhead and provides a promising solution for real-world data cloud storage and access scenarios.

Original languageEnglish
Pages (from-to)1115-1125
Number of pages11
JournalJournal of Internet Technology
Issue number4
Publication statusPublished - 2020

All Science Journal Classification (ASJC) codes

  • Software
  • Computer Networks and Communications


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