Name
Abstract | ||
|---|---|---|
In recent years, data dissemination privacy protection issues received extensive attention. A variety of privacy preserving anonymity models and technology, such as generalization, anatomy and slicing have been proposed. We present a new technique - overlapping slicing, it handles data attributes mainly based on the idea of fuzzy clustering. And we present a linear algorithm of processing data with group to generate multiple data tables, and make them satisfy l-diversity. We conduct several experiments to confirm that overlapping slicing technology ensures data security and improves the effectiveness of anonymous data at the same time. What's more, overlapping slicing processes high-dimensional data effectively. |
Year | DOI | Venue |
|---|---|---|
2014 | 10.1109/CSCWD.2014.6846828 | CSCWD |
Keywords | Field | DocType |
fuzzy clustering,data anonymous method,pattern clustering,data dissemination privacy protection issues,high-dimensional data processing,generalization,overlapping slicing,data security,availability,program slicing,anatomy,privacy preserving,linear data processing algorithm,data tables,privacy preserving anonymity models,data protection,l-diversity,data attributes,security of data,clustering algorithms,accuracy,time complexity,decision trees,data privacy,data models | Fuzzy clustering,Data mining,Data security,Data stream clustering,Computer science,Linear algorithm,Slicing,Dissemination,Anonymity,Cluster analysis | Conference |
Citations | PageRank | References |
0 | 0.34 | 0 |
Authors | ||
4 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Jing Yang | 1 | 94 | 27.54 |
| Ziyun Liu | 2 | 0 | 0.34 |
| Yue Yang | 3 | 0 | 1.01 |
| Zhang Jianpei | 4 | 83 | 21.93 |