Research on privacy protection algorithm based on intelligent data recognition

In order to improve the privacy protection effect, this paper combines the intelligent data recognition algorithm to research the privacy protection algorithm, constructs an intelligent privacy protection model, and uses the iterative dynamic programming algorithm to optimally group the original histogram structure. Moreover, this paper uses an optimized exponential mechanism to randomly adjust the optimal grouping structure to protect group privacy. In addition, this paper finds the mean of each group, and uses the Laplacian mechanism to inject random noise into each group, and analyzes the differential privacy histogram publishing algorithm under the optimized structure. Finally, this paper obtains a privacy protection algorithm model suitable for big data systems on this basis. The simulation study shows that the privacy protection algorithm model based on intelligent data recognition constructed in this paper can play an important role in privacy protection in the context of big data.