In order to obtain the network security status in real time,assisting the administrator to take re-sponse measures in time,a cascade network security situational awareness model based on multi-source fu-sion is established.The data segmentation points are established,and continuous adaptive discretization im-plementation are taken to the data through the segmentation conditions.Particle swarm optimization algo-rithm is used to fuse the same type of perceptual data.Taking asset importance,vulnerability index and threat index as the first level indicators of situation awareness,a cascade network security situation aware-ness index system is established.After that,the fusion data is input into support vector machine to trans-form the situation awareness problem into support vector machine classification prediction problem,which could obtain the best classification function,establish a comprehensive perception matrix,and complete the construction of perception model.The experiment results show that the model improves the effect of multi-source data fusion and the perception result is accurate.
维普
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