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In view of the current specific network detection method, there is no data granularity filtering, the data granularity is too rough, the detection process is single, resulting in low detection efficiency, detection correctness deviation and other issues. Put forward a specific network detection method for multi constraints based on information fusion, to obtain the specific network NIC information using Windows Wpcap.dll in the construction of a specific network interception, making filtering conditions to achieve access to specific network data; according to the theory of Rough sets of specific network data filtering granularity, reduce the roughness of the construction of a specific data granularity; the network detection model, combined with D-S evidence theory are basic belief function value and determine the value of weight by D-S synthesis formula get the test results, the introduction of group trust method filtered again on the test results, the complete network anomaly detection data and clear, single solution detection method. The experiment shows that this method improves the efficiency and correctness of network detection, and effectively solves the problems existing in the current network detection methods.