A Detailed Review on Privacy Preservation Using Distance Measure Technique in Data Mining
Privacy is the main concerning in now a days. In this paper, the authors concentrated on distance measures applied to ensure the privacy of the individual sensitive information. Protecting data privacy is an important problem in data distribution. Distance measure techniques typically aim to protect individual privacy, with minimal impact on the quality of the released data. Recently, a few of models are introduced to ensure the privacy protecting and/or to reduce the information loss as much as possible. That is, they further improve the flexibility of the anonymous strategy to make it more close to reality, and then to meet the diverse needs of the people.