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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)

Paper ID
14556
Venue
VLDB
Year
2026
Pagerank
5.093636e-05
Overall Rank
10,610 | 27.21%
DOI
10.14778/3785297.3785313

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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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