Name
Abstract | ||
|---|---|---|
Recently, there has been a growing debate over approaches for handling and analyzing private data. Research has identified issues with syntactic anonymity models. Differential privacy has been promoted as the answer to privacy-preserving data mining. We discuss here issues involved and criticisms of both approaches, and conclude that both have their place. We identify research directions that will enable greater access to data while improving privacy guarantees. |
Year | DOI | Venue |
|---|---|---|
2013 | 10.1109/ICDEW.2013.6547433 | Transactions on Data Privacy |
Keywords | DocType | Volume |
data privacy,future direction,greater access,analysis outcome,syntactic anonymity,privacy-preserving data mining,private data,syntactic anonymity models,research challenge,private data analysis,data mining,privacy guarantee,recent development,differential privacy,privacy preserving data mining,publishing,data models,privacy,noise | Conference | 6 |
Issue | ISSN | ISBN |
2 | 1888-5063 | 978-1-4673-5302-1 |
Citations | PageRank | References |
40 | 1.45 | 67 |
Authors | ||
2 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Chris Clifton | 1 | 3327 | 544.44 |
| Tamir Tassa | 2 | 920 | 63.53 |