Abstract

With the increase of network complexity, network security incidents are showing a trend of rapid growth. Aiming at the low efficiency of large-scale network security data visual analysis, this paper proposes a heterogeneous tree network security data organization method, which improves the real-time performance of data analysis, and designs a three-dimensional multi-layer spherical space for large-scale networks Visualization model (TMSM). The experimental results show that this method has strong analytical capabilities for large-scale, high-dispersion network security data, and can effectively identify different types of intrusions and facilitate network forensics.

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