With the arrival of the era of big data, the number of data increases exponentially, onetime release of all data can no longer meet the needs of realtime data, so an incremental update algorithm on (p, k) anonymity is proposed to dynamically update anonymous publication data tables.In order to avoid privacy leakage when data is dynamically updated, the algorithm uses encryption technology to protect sensitive attributes. We create a temporary table and an interim table to aid the timely insertion of updated data. The incremental update algorithm on (p, k) anonymity improves the problem that traditional algorithms cannot update data in real time, ensures the realtime performance of data, and uses encryption technology to enhance data privacy protection. Experimental results show that the incremental update algorithm on (p, k) anonymity achieves the goal of realtime data update with less information loss and faster update rate.

 

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