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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
2062
Venue
SIGMOD
Year
1977
Pagerank
0.00022165082
Overall Rank
482 | 96.65%
DOI
-

Incoming Non-self Citations Over Time

Authors

Incoming Citations (Sorted by Pagerank)

Showing 5 of 5 citing papers.

Rank Citing Paper Year Venue Pagerank
40 Privacy-Preserving Data Mining 2000 SIGMOD 0.00074232718
89 Statistical Databases: Characteristics, Problems, and Some Solutions 1982 VLDB 0.0005230007
355 Hippocratic Databases 2002 VLDB 0.00026087195
1,086 Performance Evaluation of the Statistical Aggregation by Categorization in the SM3 System 1984 SIGMOD 0.00014162914
1,386 A Privacy-Preserving Index for Range Queries 2004 VLDB 0.00012261809
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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
32 Differential Files: Their Application To The Maintenance Of Large Data Bases 1976 SIGMOD 0.00077486306
235 An Authorization Mechanism for a Relational Data Base System 1976 SIGMOD 0.00031992425
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