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Minimal Data Upgrading to Prevent Inference and Association Attacks

Summary: Formulates the minimal information reclassification problem: assign security levels to prevent inference and association attacks while minimizing unnecessary overclassification. Provides an algorithmic solution that's linear in simple instances, O(n^2) in general, and identifies an NP-hard variant. (summarized by gpt-5-mini on Feb 09 2026)

Paper ID
1165
Venue
PODS
Year
1999
Pagerank
5.4328982e-05
Overall Rank
8,403 | 42.35%
DOI
10.1145/303976.303988

Incoming Non-self Citations Over Time

Authors

BibTeX Citation

@inproceedings{dawson_pods99,
        address = {New York, NY, USA},
        series = {{PODS} '99},
        title = {{Minimal Data Upgrading to Prevent Inference and Association Attacks}},
        url = {https://dl.acm.org/doi/10.1145/303976.303988},
        doi = {10.1145/303976.303988},
        booktitle = {Proceedings of the {ACM} {SIGMOD} Symposium on {Principles} of {Database} {Systems}},
        publisher = {Association for Computing Machinery},
        author = {Dawson, Steven and di Vimercati, Sabrina De Capitani and Lincoln, Patrick and Samarati, Pierangela},
        year = {1999}
}

Incoming Citations (Sorted by Pagerank)

Showing 1 of 1 citing papers.

Rank Citing Paper Year Venue Pagerank
5,731 Secure XML Publishing without Information Leakage in the Presence of Data Inference 2004 VLDB 6.106721e-05
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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
1,659 Toward a Multilevel Secure Relational Data Model 1991 SIGMOD 0.00010079787
3,468 Security and Inference in Multilevel Database and Knowledge-Base Systems 1987 SIGMOD 7.3895239e-05
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