Utility evaluation of K-anonymous data by microaggregation
Wang Lixia, Han Jianmin · 2009
Microaggregation is an effective method to k-anonymize microdata for privacy preservation. The evaluation of utility of anonymity data by microaggregation plays an increasing important role for microdata publication and microaggregation algorithm selection. So the paper presents an evaluation model, which adopts different methods to evaluate utility of anonymous data for different data type. Experimental results show that the presented model can evaluate the utility of anonymity data effectively.