Security in Outsourcing of Association Rule Mining
Summary: Outsourcing association rule mining via a non-deterministic one-to-n item mapping to obfuscate transactions. A single-pass encryption algorithm guarantees correct decryption, withstands non-trivial cryptanalytic threats, and delivers strong security with low transformation cost for streaming data to providers. (summarized by gpt-5-nano on Feb 09 2026)
Incoming Non-self Citations Over Time
No non-self incoming citations found for this paper in this database.
Authors
- 1. W. K. Wong
- 2. David W. Cheung
- 3. Edward Hung
- 4. Ben Kao
- 5. Nikos Mamoulis
Incoming Citations (Sorted by Pagerank)
Showing 1 of 1 citing papers.
| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 12,362 | An Audit Environment for Outsourcing of Frequent Itemset Mining | 2009 | VLDB | 4.1905499e-05 |
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Outgoing Citations (Sorted by Pagerank)
Showing 4 of 4 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
| Rank | Cited Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 13 | Mining Association Rules between Sets of Items in Large Databases | 1993 | SIGMOD | 0.0010863639 |
| 36 | Fast Algorithms for Mining Association Rules | 1994 | VLDB | 0.00076114894 |
| 40 | Privacy-Preserving Data Mining | 2000 | SIGMOD | 0.00074213516 |
| 654 | Anatomy: Simple and Effective Privacy Preservation | 2006 | VLDB | 0.00018594644 |
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