A Differentially Private Index for Range Query Processing in Clouds

@article{Sahin2018ADP,
  title={A Differentially Private Index for Range Query Processing in Clouds},
  author={Cetin Sahin and Tristan Allard and Reza Akbarinia and Amr El Abbadi and Esther Pacitti},
  journal={2018 IEEE 34th International Conference on Data Engineering (ICDE)},
  year={2018},
  pages={857-868}
}
Performing non-aggregate range queries on cloud stored data, while achieving both privacy and efficiency is a challenging problem. This paper proposes constructing a differentially private index to an outsourced encrypted dataset. Efficiency is enabled by using a cleartext index structure to perform range queries. Security relies on both differential privacy (of the index) and semantic security (of the encrypted dataset). Our solution, PINED-RQ develops algorithms for building and updating the… CONTINUE READING

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