Figure 10.
A multi-panel plot depicts feature contributions to model output values across five panels labelled A, B, C, D, and E.The image depicts five panels labelled A, B, C, D, and E, each showing a ranked feature contribution plot against model output value on the X-axis. Each panel lists network traffic features on the Y-axis such as L 7 P r o t o, Protocol, Client T C P Flags, Shortest Flow P K T, Longest Flow P K T, Max I P P K T Len, Num P K T S Up To 128 Bytes, Num P K T S 128 To 256 Bytes, S r c To D s t A v g Throughput, S r c To D s t Second Bytes, D s t To S r c Second Bytes, T C P Win Max In, T C P Win Max Out, In Bytes, Out Bytes, Duration In, Flow Duration Milliseconds, L 4 S r c Port, L 4 D s t Port, In P K T S, Out P K T S, Server T C P Flags, and related variables, with numeric values shown beside each label. Curved lines depict how individual feature contributions vary across negative and positive model output values. Each panel uses a different scale, illustrating distinct feature contribution ranges while maintaining a consistent feature structure across all five panels.

SHAP decision: local graph for NF-ToN-IoT-v2 data set for multiple class category (a–e) – benign, DDoS, DoS, reconnaissance, theft, respectively

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