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Mobile Multimedia Communications. 14th EAI International Conference, Mobimedia 2021, Virtual Event, July 23-25, 2021, Proceedings

Research Article

A Survey on Spatial Keyword Search over Encrypted Data

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  • @INPROCEEDINGS{10.1007/978-3-030-89814-4_30,
        author={Zenebe Yetneberk},
        title={A Survey on Spatial Keyword Search over Encrypted Data},
        proceedings={Mobile Multimedia Communications. 14th EAI International Conference, Mobimedia 2021, Virtual Event, July 23-25, 2021, Proceedings},
        proceedings_a={MOBIMEDIA},
        year={2021},
        month={11},
        keywords={Privacy preservation Secure queries Spatial keywords query Privacy-preserving query},
        doi={10.1007/978-3-030-89814-4_30}
    }
    
  • Zenebe Yetneberk
    Year: 2021
    A Survey on Spatial Keyword Search over Encrypted Data
    MOBIMEDIA
    Springer
    DOI: 10.1007/978-3-030-89814-4_30
Zenebe Yetneberk1
  • 1: School of Cyber Engineering

Abstract

Many real-time applications use spatial keyword queries, which provide location information and text descriptions of Points Of Interest (POI). Since a promising research subject can pose such a procedure, performing spatial keyword queries over encrypted data is difficult. Several schemes for addressing secure spatial and keyword queries have been proposed, but previous surveys have only summarised and tested secure query algorithms. They still lack a privacy-preserving overall review of the spatial keyword query. This paper outlines a secure spatial keyword query’s three main components: secure spatial query, secure textual query, and secure spatial-textual query. Some evaluation criteria have been carefully selected to aid in the evaluation of existing spatial keywords. Following that, we expand on and evaluate recent related research’s benefits and disadvantages using the suggested criteria. Finally, we see some unanswered problems that researchers can use to perform more analyses and studies.

Keywords
Privacy preservation Secure queries Spatial keywords query Privacy-preserving query
Published
2021-11-02
Appears in
SpringerLink
http://dx.doi.org/10.1007/978-3-030-89814-4_30
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