DBScholar

Back to papers

Privacy Preserving Subgraph Matching on Large Graphs in Cloud

Summary: Privacy-preserving subgraph matching on cloud by k-automorphism: G->Gk and answer with a small Go-sg, cutting cloud and client overhead. Anonymizes query labels by generalization and uses a cost model to prune label choices; tested on real data. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
5209
Venue
SIGMOD
Year
2016
Pagerank
6.2370509e-05
Overall Rank
5,384 | 63.07%
DOI
10.1145/2882903.2882956

Incoming Non-self Citations Over Time

Authors

BibTeX Citation

@inproceedings{chang_sigmod16,
        title = {{Privacy Preserving Subgraph Matching on Large Graphs in Cloud}},
        author = {Chang, Zhao and Zou, Lei and Li, Feifei},
        series = {{SIGMOD} '16},
        booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
        publisher = {Association for Computing Machinery},
        doi = {10.1145/2882903.2882956},
        url = {https://dl.acm.org/doi/10.1145/2882903.2882956},
        year = {2016}
}

Incoming Citations (Sorted by Pagerank)

Showing 3 of 3 citing papers.

Previous Page 1 / 1 Next

Outgoing Citations (Sorted by Pagerank)

Showing 9 of 9 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