The (P, #x03B1;, K) anonymity model for privacy protection of personal information in the social networks

摘要

The(P, α, K) anonymity model for privacy protection of personal information in the social networks is proposed in this paper. The hidden fields P and the hidden levels a are set according to theindividual privacy needs of the users. Then make the released data to meet the privacy protection requirements through the Datafly algorithm and the clustering algorithm. The experimental data shows that the (P, α, K) model is better than the traditional K-anonymity model and L-Diversity modelin reducing the running timeand reducing the loss of information.