Research on DSG-DSMM Evaluation Model of Data Security Based on Entropy Method and BP Neural Network and Its Application

From the perspective of data security evaluation, based on the data security governance framework and data security capability maturity model, combined with the network security level protection system 2.0 standard, this paper establishes a general data security theoretical model DSG-DSMM, and on this basis, establishes a data security evaluation index system. By introducing entropy method and BP neural network Kunming Longhui Technology Co., Ltd. calculated the data security degree as an example, and found that the data environment security open forest index has the largest weight value in the data security evaluation index, indicating that different local governments attach great importance to data and different data support environments have a great impact on data security; The prediction results of BP neural network show that the data security level of Electric Power Construction Institute is basically safe, while that of Longhui Company is average. The prediction value of DSG-DSMM data security evaluation model is basically consistent with the reality. Its research model, research methods and research results are helpful to ensure the data security of enterprises and institutions to a certain extent.