An Approach for Privacy Preservation Using XML Distance Measure
In recent years a wide variety of personal information is available. Privacy preservation for individual information from external sources has become a great challenge. Data mining which plays a key role in knowledge discovery is applied to a wide variety of these applications which reveals private and sensitive details of individuals. It is necessary to provide privacy. One commonly used approach to provide privacy is to anonymize the data. However, anonymization technique suffers from homogeneous attack and background attack and cannot prevent the attribute disclosure. In this paper, the authors use a XML distance measure to preserve privacy for individual's information.