Research Article
Subspace-Based Anomaly Detection for Large-Scale Campus Network Traffic
Table 2
Comparison of experimental results of this method and related work on various indicators.
| | Algorithm | Accuracy rate (%) | Precision rate (%) | Recall rate (%) | F1-score (%) |
| | ELM in the literature [5] | 86.16 | 85.42 | 86.41 | 83.75 | | SVM in the literature [16] | 87.98 | 87.71 | 89.26 | 87.29 | | K-SVM in the literature [22] | 92.23 | 88.59 | 92.42 | 88.99 | | MRA S-dDCA [23] | 99.72 | 98.97 | 99.54 | 99.32 | | The SAWC proposed in this paper | 99.81 | 99.22 | 99.56 | 99.49 |
|
|