In order to accurately detect and locate network hidden threat information and improve the detection and location effect, a network hidden threat information detection and location method based on improved msckf algorithm is proposed. Firstly, the network data were normalized and standardized via pretreatment of the network data, thus improving the detection and positioning accuracy of network hidden threat information. Secondly, network hidden threat information detection method based on improved MSCKF algorithm was adopted to process the preprocessed network data. The network hidden threat information detection was realized from single node and multi node state. Finally, the reputation value of the threat information node was calculated by using the network hidden threat information localization method based on the reputation value. Eventually, the location of the network hidden threat information was recognized. The results show that this method can accurately detect many hidden threat information in location network. The average error of detection and location is the lowest and the accuracy is the highest at the trust threshold of 20.

为了准确检测和定位网络隐患信息，提高检测和定位效果，提出了一种基于改进的msckf算法的网络隐患信息检测与定位方法。首先，通过对网络数据进行预处理对网络数据进行规范化和标准化，从而提高了网络隐患信息的检测和定位精度。其次，采用基于改进的MSCKF算法的网络隐患信息检测方法对预处理后的网络数据进行处理。从单节点和多节点状态实现了网络隐患信息的检测。最后，利用基于信誉值的网络隐患信息定位方法，计算出威胁信息节点的信誉值。最终，识别网络隐藏威胁信息的位置。结果表明，该方法可以准确地检测出定位网络中的许多隐患信息。在信任阈值20处，检测和定位的平均错误最低，准确性最高。