Privacy Preserving Collaborative Data Publishing
2013
Organizations share data about their customers to explore potential business avenues. The sharing of data
has posed several threats leading to individual identification. Owing to this, privacy preserving data
publication has become an important research problem. The main goal of this problem is to preserve
privacy of individuals while revealing useful information. An organization may implement and follow its
privacy policy. But when two companies share information about a common set of individuals, and if their
privacy policies differ, it is likely that there is privacy breach, unless there is a common policy. One
solution was proposed for such scenario, based on k-anonymity and cut-tree method for 2-party data. This
paper suggests a simple solution for integrating n-party data using dynamic programming on subsets. The
solution is based on thresholds for privacy and informativeness based on k-anonymity.
Keywords:
- Correction
- Source
- Cite
- Save
- Machine Reading By IdeaReader
8
References
0
Citations
NaN
KQI