A Workload-Aware Encrypted Index for Efficient Privacy-Preserving Range Queries
Summary: Introduces P³RQ-Bitmap and P³RQ-WBTree, encrypted range-query indexes combining PRF-based comparisons with workload-aware optimization. Adaptive partitioning, gradient-descent cost modeling, and dual updates yield up to 83× faster queries than prior privacy-preserving schemes. (summarized by gpt-5.6-luna on Jul 24 2026)
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Authors
- 1. Dong Wang (Chang'an University)
- 2. Ningning Cui (Chang'an University)
- 3. Jianxin Li (Edith Cowan University)
- 4. Jianzhong Qi (University of Melbourne)
- 5. Jianliang Xu (Hong Kong Baptist University)
- 6. Hui Lu (Guangdong University of Technology)
BibTeX Citation
@article{wang_vldb26,
title = {{A Workload-Aware Encrypted Index for Efficient Privacy-Preserving Range Queries}},
author = {Wang, Dong and Cui, Ningning and Li, Jianxin and Qi, Jianzhong and Xu, Jianliang and Lu, Hui},
journal = {PVLDB},
series = {{VLDB} '26},
volume = {19},
number = {4},
pages = {740--752},
doi = {10.14778/3785297.3785313},
url = {https://doi.org/10.14778/3785297.3785313},
year = {2026}
}
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