A study on the protection of statistical data bases

Summary: Study evaluating protection schemes for statistical databases - security effectiveness, feasibility, and ease of implementation. Proposes a new method with two implementations: one guarantees perfect protection against leakage of individuals' data; the other is lightweight but permits a small leakage probability. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID: 2124
Venue: SIGMOD
Year: 1977
Pagerank: 0.00012257715
Overall Rank: 1,081 | 92.59%
DOI: 10.1145/509404.509432

Incoming Non-self Citations Over Time

Authors

1. C. T. Yu (University of Alberta)
2. F. Y. Chin (University of Alberta)

BibTeX Citation

@inproceedings{yu_sigmod77,
        title = {{A study on the protection of statistical data bases}},
        author = {Yu, C. T. and Chin, F. Y.},
        series = {{SIGMOD} '77},
        booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
        publisher = {Association for Computing Machinery},
        doi = {10.1145/509404.509432},
        url = {https://dl.acm.org/doi/10.1145/509404.509432},
        year = {1977}
}

Incoming Citations (Sorted by Pagerank)

Showing 5 of 5 citing papers.

Rank	Citing Paper	Year	Venue	Pagerank
70	Privacy-Preserving Data Mining	2000	SIGMOD	0.0003804755
249	Statistical Databases: Characteristics, Problems, and Some Solutions	1982	VLDB	0.00023275528
404	Hippocratic Databases	2002	VLDB	0.00019065022
1,310	A Privacy-Preserving Index for Range Queries	2004	VLDB	0.00011209219
2,399	Performance Evaluation of the Statistical Aggregation by Categorization in the SM3 System	1984	SIGMOD	8.6307399e-05

Outgoing Citations (Sorted by Pagerank)

Showing 2 of 2 cited papers.

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

Rank	Cited Paper	Year	Venue	Pagerank
59	Differential Files: Their Application To The Maintenance Of Large Data Bases	1976	SIGMOD	0.00040060625
595	An Authorization Mechanism for a Relational Data Base System	1976	SIGMOD	0.000159408

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