DBScholar

Back to papers

Querying Shared Data with Security Heterogeneity

Summary: Security-heterogeneous data sharing for distributed SQL using toll functions tied to data-sharing agreements. Formalizes query answering as a bi-criteria optimization to minimize toll and parallel cost; despite PSPACE-hardness, offers scalable approximate algorithms with empirical validation. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
6061
Venue
SIGMOD
Year
2020
Pagerank
5.2336921e-05
Overall Rank
9,716 | 33.34%
DOI
10.1145/3318464.3389784

Incoming Non-self Citations Over Time

Authors

BibTeX Citation

@inproceedings{cao_sigmod20,
        title = {{Querying Shared Data with Security Heterogeneity}},
        author = {Cao, Yang and Fan, Wenfei and Wang, Yanghao and Yi, Ke},
        series = {{SIGMOD} '20},
        booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
        publisher = {Association for Computing Machinery},
        doi = {10.1145/3318464.3389784},
        url = {https://dl.acm.org/doi/10.1145/3318464.3389784},
        year = {2020}
}

Incoming Citations (Sorted by Pagerank)

Showing 2 of 2 citing papers.

Rank Citing Paper Year Venue Pagerank
5,581 Subgraph Matching over Graph Federation 2022 VLDB 6.1624715e-05
6,876 A Hierarchical Contraction Scheme for Querying Big Graphs 2022 SIGMOD 5.7483615e-05
Previous Page 1 / 1 Next

Outgoing Citations (Sorted by Pagerank)

Showing 12 of 12 cited papers.

Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.

Previous Page 1 / 1 Next

Semantically Similar Papers