Efficient and secure top-k query processing algorithm using garbled circuit based secure protocols on outsourced databases

  • Hyeong Il Kim
  • , Young Sung Shin
  • , Hyeong Jin Kim
  • , Jae Woo Chang*
  • *Corresponding author for this work

    Research output: Contribution to conferenceConference paperpeer-review

    Abstract

    With the growth of cloud computing, database outsourcing has attracted much interests. Due to the serious privacy threats in cloud computing, databases needs to be encrypted before being outsourced to the cloud. Therefore, various Top-k query processing algorithms have been studied for encrypted databases. However, existing algorithms are either insecure or inefficient. Therefore, in this paper we propose an efficient and secure Top-k query processing algorithm. Our algorithm guarantees the confidentiality of both the data and a user query while hiding data access patterns. Our algorithm also enables the query issuer not to participate in the query processing. To achieve a high level of query processing efficiency, we use new secure protocols using Yao's garbled circuit and a data packing technique. A performance analysis shows that the proposed algorithm outperforms the existing works in terms of query processing costs.

    Original languageEnglish
    Title of host publicationProceedings of the 6th International Conference on Emerging Databases
    Subtitle of host publicationTechnologies, Applications, and Theory, EDB 2016
    EditorsCarson K. Leung
    PublisherAssociation for Computing Machinery
    Pages124-134
    Number of pages11
    ISBN (Electronic)9781450347549
    DOIs
    StatePublished - 2016.10.17
    Event6th International Conference on Emerging Databases: Technologies, Applications, and Theory, EDB 2016 - Jeju Island, Korea, Republic of
    Duration: 2016.10.172016.10.19

    Publication series

    NameACM International Conference Proceeding Series

    Conference

    Conference6th International Conference on Emerging Databases: Technologies, Applications, and Theory, EDB 2016
    Country/TerritoryKorea, Republic of
    CityJeju Island
    Period16.10.1716.10.19

    Keywords

    • Database encryption
    • Database outsourcing
    • Encrypted index
    • Hiding data access patterns
    • Secure Top-k query processing

    Quacquarelli Symonds(QS) Subject Topics

    • Computer Science & Information Systems
    • Data Science

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