Efficient outsourcing of secure k-nearest neighbour query over encrypted database

Rui Xu, Kirill Morozov, Yanjiang Yang, Jianying Zhou, Tsuyoshi Takagi

Research output: Contribution to journalArticlepeer-review

15 Citations (Scopus)


Cloud computing allows a cloud user to outsource her data and the related computation to a cloud service provider to save storage and computational cost. This convenient service has brought a shift from the traditional client–server model to DataBase as a Service (DBaaS). Although DBaaS relieves the clients from the data management burdens, a significant concern about the data privacy remains. In this work, we focus on outsourcing secure k-nearest neighbour (k-NN) query, and provide the first sublinear solution (with preprocessing) with computational complexity O(klgn(lg2n+lg3k)). Our construction uses the data structure called kd-tree to achieve the sublinear query complexity. In order to protect data access patterns, garbled circuits are used to simulate Oblivious RAM (ORAM) for accessing data in the kd-tree. Compared with the existing solutions, our scheme imposes only constant overhead on both the data owner and the querying client.

Original languageEnglish
Pages (from-to)65-83
Number of pages19
JournalComputers and Security
Publication statusPublished - Aug 2017

All Science Journal Classification (ASJC) codes

  • Computer Science(all)
  • Law


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