Privacy data preserving method based on fuzzy discretization
Guorong Zhang · 2011
Protect data privacy is one of hot topic of database applications in recent years. This paper is concentrated on the issue of protecting the privacy attribute values when data publication and proposes a method based on fuzzy discretization. The method transforms sensitive attribute values to fuzzy values and publishes the data with fuzzy offset degree. This helps the end user of the data to make out the distinction between two attribute values, even though they are mapped to the same linguistic term. The experiments demonstrate that the method efficiently preserves privacy information and maintains the clustering model of primitive data wel1.