The week's pick
Reseach Article
Hierarchical Model for Preserving Privacy in Vertically Partitioned Distributed Databases
| International Journal of Computer Applications |
| Foundation of Computer Science (FCS), NY, USA |
| Volume 71 - Number 3 |
| Year of Publication: 2013 |
| Authors: Rayudu Srinivas, A. Sri Rama Chandra |
10.5120/12341-8618
|
Rayudu Srinivas, A. Sri Rama Chandra . Hierarchical Model for Preserving Privacy in Vertically Partitioned Distributed Databases. International Journal of Computer Applications. 71, 3 ( June 2013), 37-39. DOI=10.5120/12341-8618
Abstract
Data sharing is an important task in the world of globalization. Organizations, government offices and hospitals release data to the public for the purpose of analysis and research. While publishing data to public, privacy is to be provided to the sensitive information. Privacy preservation aims at limiting the risk of leaking published data to a particular individual. To provide privacy copious privacy techniques are available, sophisticated privacy preserving techniques are required for distributed data. In distributed databases the data is distributed over the nodes. The data distribution may be horizontally partitioned or vertically partitioned. To provide privacy to the horizontally partitioned data various techniques proposed in [7,8] and for vertically partitioned data the method proposed in [15] if the data stored at two sites. Here we are proposed a novel method to provide privacy to the data if the data is vertically partitioned and distributed over sites. The major advantage of proposed method is to reduce transmission load and to provide privacy using multidimensional distributed method that is similar to the most popular method Mondrian multidimensional k-anonymity[5].
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