The (P, α, K) anonymity model for privacy protection of personal information in the social networks
Kong Qing-jiang, Xiaohao Wang, Jun Zhang · 2011
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 the individual 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 modeling reducing the running time and reducing the loss of information.