Name
Abstract | ||
|---|---|---|
In this paper, we address privacy breaches in transactional data where individuals have multiple tuples in a dataset. We provide a safe grouping principle to ensure that correlated values are grouped together in unique partitions that enforce l-diversity at the level of individuals. We conduct a set of experiments to evaluate privacy breach and the anonymization cost of safe grouping. |
Year | DOI | Venue |
|---|---|---|
2013 | 10.1007/978-3-642-39256-6_11 | DBSec |
Keywords | Field | DocType |
transactional dataset anonymization,unique partition,safe grouping principle,safety constraint,safe grouping,anonymization cost,transactional data,privacy breach,multiple tuples,correlated value | Tuple,Computer science,Computer security,Transactional leadership,Transaction data | Conference |
Volume | ISSN | Citations |
7964 | 0302-9743 | 2 |
PageRank | References | Authors |
0.41 | 17 | 3 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Béchara Al Bouna | 1 | 45 | 11.20 |
| Chris Clifton | 2 | 3327 | 544.44 |
| Qutaibah Malluhi | 3 | 217 | 10.17 |