Research on distributed network information security diagnosis method based on matrix algorithm

In order to solve the problem of misdetection and time-consuming during the data acquisition of the honeycomb optical fiber sensor network, this paper proposes a security information retrieval to acquire the honeycomb optical fiber sensor network method based on fuzzy configuration. Those. A data storage model for a honeycomb fiber optic sensor network is developed. Fuzzy distribution detection is used to optimize the frequency decomposition and decomposition of decision time distributions. A block fuzzy fusion clustering method is used to test group properties and fuzzy data groups, and combined with network region clustering analysis method to discover security information. According to the experiment, the detection performance of the proposed model is more than 92, the accuracy is more than 92. 2, and the longest time is less than 0. 02 seconds, which shows that the detection is improved, accurate and effective.