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…the clusters of benign and malicious traffic in the 3D-space. We observe that the classification precision
is 91.38 %, accuracy is 89.31 %, recall is 87.10 %, and f-score is 89.19 %.
In summary, the autoencoder provides a 3D representation using known labels for packet flows. K-means performs the
detection of whether the traffic is legitimate or…
https://www.wichita.edu/academics/research/urcaf/documents/2022URCAFProgram.pdf