DedupDUM: Secure and scalable data deduplication with dynamic user management

Haoran Yuan, Xiaofeng Chen*, Tao Jiang, Xiaoyu Zhang, Zheng Yan, Yang Xiang

*Corresponding author for this work

Research output: Contribution to journalArticleScientificpeer-review

28 Citations (Scopus)


Data deduplication on cloud enables the cloud servers to store a cope of data and eliminate redundant one so that a goal to save storage space and network bandwidth is realized. Recently, many research works which are concerning to the privacy-preserving problem of dynamic ownership management in the secure data deduplication setting are published. However, to our knowledge, the existing schemes are not efficient when the cloud user joining and revocation frequently go on, especially in the absence of a trusted third party in practical cloud storage systems. In this paper, we propose a secure and scalable data deduplication scheme with dynamic user management, which updates dynamic group users in a secure way and restricts the unauthorized cloud users from the sensitive data owned by valid users. To further mitigate the communication overhead, the pre-verified accessing control technology is adopted, which prevents the unauthorized cloud users from downloading data. In other words, our present scheme also ensures that only the valid cloud users are able to download and decrypt the ciphertext from the cloud server. All this reduces the communication overhead in our scheme implementation.

Original languageEnglish
Pages (from-to)159-173
Number of pages15
JournalInformation Sciences
Publication statusPublished - 1 Aug 2018
MoE publication typeA1 Journal article-refereed


  • Access control
  • Data deduplication
  • Dynamic user management
  • Random convergent encryption
  • User joining


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