Building Disclosure Risk Aware Query Optimizers for Relational Databases
Summary: Quantifies main-memory disclosure risk of encrypted relational data and introduces data-sensitivity aware query optimization. Prototype in MySQL-InnoDB, alters storage and optimizer for memory-aware plans; shows reduced leakage with modest overhead. (summarized by gpt-5-nano on Feb 09 2026)
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Authors
- 1. Mustafa Canim
- 2. Murat Kantarcioglu
- 3. Bijit Hore
- 4. Sharad Mehrotra
Incoming Citations (Sorted by Pagerank)
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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 |
|---|---|---|---|---|
| 3,776 | Forensic Analysis of Database Tampering | 2006 | SIGMOD | 6.7754215e-05 |
| 3,846 | Threats to Privacy in the Forensic Analysis of Database Systems | 2007 | SIGMOD | 6.7073366e-05 |
| 4,228 | GhostDB: Querying Visible and Hidden Data Without Leaks | 2007 | SIGMOD | 6.3419949e-05 |
| 4,358 | Buffer Pool Aware Query Optimization | 2005 | CIDR | 6.2571485e-05 |
| 4,605 | Tamper Detection in Audit Logs | 2004 | VLDB | 6.0547644e-05 |
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