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Whodunit: An Auditing Tool for Detecting Data Breaches

Summary: Whodunit analyzes full audit trails to identify all queries and users referencing sensitive data. Handles complex SQL (grouping, subqueries), provides privacy guarantees, and introduces novel optimizations for auditing large, complex workloads. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
10405
Venue
VLDB
Year
2011
Pagerank
5.0723324e-05
Overall Rank
12,444 | 14.92%
DOI
10.14778/1687553.1687566

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Authors

BibTeX Citation

@article{kaushik_vldb11,
        title = {{Whodunit: An Auditing Tool for Detecting Data Breaches}},
        author = {Kaushik, Raghav and Ramamurthy, Ravi},
        journal = {PVLDB},
        series = {{VLDB} '11},
        volume = {2},
        number = {2},
        pages = {1410--1413},
        doi = {10.14778/1687553.1687566},
        url = {https://doi.org/10.14778/1687553.1687566},
        year = {2011}
}

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Outgoing Citations (Sorted by Pagerank)

Showing 5 of 5 cited papers.

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

Rank Cited Paper Year Venue Pagerank
1,092 A Formal Analysis of Information Disclosure in Data Exchange 2004 SIGMOD 0.00012197001
2,118 Auditing Compliance with a Hippocratic Database 2004 VLDB 9.1172009e-05
4,168 On the Efficiency of Checking Perfect Privacy 2006 PODS 6.8339688e-05
5,739 PolicyReplay: Misconfiguration-Response Queries for Data Breach Reporting 2010 VLDB 6.0873441e-05
6,736 Efficient Auditing For Complex SQL queries 2011 SIGMOD 5.7728612e-05
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