Privacy-preserving data sharing scheme over cloud for social applications

Chen Lyu, Shi-Feng Sun, Yuanyuan Zhang, Amit Pande, Haining Lu, Dawu Gu

Research output: Contribution to journalArticleResearchpeer-review

5 Citations (Scopus)


Social applications are becoming one of the most popular applications for users to share data and communicate online. These applications deal with a lot of personal data, e.g., users’ locations, interests and documents stored on the remote cloud storage servers. Therefore, we need to pay a deeper attention to data confidentiality and privacy. To address the problem of data confidentiality, existing solutions usually count the security requirement of data owner for data sharing in social applications. However, on the side of the data consumer or member, we want to securely and efficiently get our own interested data. Both the data owner and the member are two roles of users in data sharing applications, and there are little existing research efforts to investigate the implementation of achieving both of their requirements at the same time. In this paper, we propose DASS, a privacy-preserving DAta Sharing Scheme to comprehensively satisfy users’ security requirements for social applications. Our solution consists of a fine-grained access control scheme, a dynamic social attribute management model, and a multi-user searchable encryption scheme. We have described our scheme and provided performance evaluation. Validations are done to demonstrate that our scheme is secure, fine-grained and efficient.

Original languageEnglish
Pages (from-to)44-55
Number of pages12
JournalJournal of Network and Computer Applications
Publication statusPublished - 1 Oct 2016
Externally publishedYes


  • Access control
  • Cloud storage servers
  • Privacy
  • Searchable encryption
  • Social applications

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