Multidimensional Data Security Exchange Modeling and Its Optimization Method

In order to improve the security of multi-dimensional data exchange and reduce the risk of information leakage, this paper proposes a multi-dimensional data security exchange modeling machine optimization method. Firstly, the data security exchange model is analyzed. Then, the process behavior evaluation model and Boolean operation of the fusion hidden Markov model are used to evaluate the multi-dimensional data security exchange model, so as to obtain better performance evaluation. An optimal process behavior evaluation model selection method based on cost decision tree is proposed, which coordinates the contradiction between the accuracy rate of the evaluation model and the false alarm rate. Finally, a simulation experiment was carried out and the results were compared to verify the effectiveness and reliability of the proposed method.