Improved Datafly Privacy Protection Algorithm Based on Decision Tree
Haochao Fang, Kongwei Zhu, Feng Guo · 2023
In view of the data security problems caused by Big data technology, this paper improves the Datafly algorithm based on the decision tree theory, and the K-medoids algorithm. Firstly, the decision tree method is used to calculate the sensitivity of each attribute in the dataset. Secondly, the K-medoids algorithm is used to classify them into different subsets. Finally, the Datafly algorithm is performed on each subset classified with different sensitivities. Compared with the original Datafly algorithm, the experimental results show that the improved algorithm has following performances: 1. The high availability of data, and higher data accuracy. 2. the improved algorithm has higher operational efficiency.