• Corpus ID: 211678223

Dynamic Skyline Queries on Encrypted Data Using Result Materialization

@article{Zeighami2020DynamicSQ,
  title={Dynamic Skyline Queries on Encrypted Data Using Result Materialization},
  author={Sepanta Zeighami and Gabriel Ghinita and Cyrus Shahabi},
  journal={ArXiv},
  year={2020},
  volume={abs/2003.00051}
}
Skyline computation is an increasingly popular query, with broad applicability in domains such as healthcare, travel and finance. Given the recent trend to outsource databases and query evaluation, and due to the proprietary and sometimes highly sensitivity nature of the data (e.g., in healthcare), it is essential to evaluate skylines on encrypted datasets. Several research efforts acknowledged the importance of secure skyline computation, but existing solutions suffer from at least one of the… 
SecSky: A Secure Dynamic Skyline Query Scheme With Data Privacy
TLDR
A novel framework called SecSky, where the improved B+ tree structure and symmetric encryption were combined to construct a secure storage structure and the pruning idea was applied to reduce unnecessary calculation and to achieve efficient skyline query and dynamic update.

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