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Efficient and Secure Range Counting over Distributed Geographic Data with Query Range Protection

Summary: PPRC jointly delivers query privacy, accuracy, and efficiency for range counting over overlapping, distributed geographic datasets. Its PRP replaces secure comparisons with encrypted membership tests, while OLC securely aggregates duplicate-aware partial counts; it achieves up to 37× speedup and 55× lower error. (summarized by gpt-5.6-luna on Aug 28 2026)

Paper ID
hca83d079251c2fb2
Venue
VLDB
Year
2026
Pagerank
4.9793485e-05
Overall Rank
10,864 | 26.96%
DOI
10.14778/3836663.3836691

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BibTeX Citation

@article{yang_vldb26,
        title = {{Efficient and Secure Range Counting over Distributed Geographic Data with Query Range Protection}},
        author = {Yang, Haoxin and Wang, Pinghui and Hou, Zhe and Zhou, Tian and Yang, Guangmingzi and Lei, Zehua and Li, Rundong and Song, Yutong and Peng, Yongyuan and Dong, Fangming and Guan, Xiaohong},
        journal = {PVLDB},
        series = {{VLDB} '26},
        volume = {19},
        number = {11},
        pages = {3317--3329},
        doi = {10.14778/3836663.3836691},
        url = {https://doi.org/10.14778/3836663.3836691},
        year = {2026}
}

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