Name
Abstract | ||
|---|---|---|
In this paper, we present a study to counter privacy violation due to unsafe data correlation. We propose a safe correlation requirement to keep correlated values bounded by l-diversity and evaluate the trade-o to be made for the sake of a strong privacy guarantee. Finally, we present a correlation sanitization algorithm that enforces our safety constraint and demonstrates its eciency. |
Year | Venue | Field |
|---|---|---|
2015 | EDBT/ICDT Workshops | Data correlation,Data mining,Computer science,Correlation,Data Correlations,Bounded function |
DocType | Citations | PageRank |
Conference | 0 | 0.34 |
References | Authors | |
0 | 3 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Bechara al Bouna | 1 | 0 | 0.68 |
| Chris Clifton | 2 | 3327 | 544.44 |
| Qutaibah M. Malluhi | 3 | 189 | 55.68 |