Research Article
A Hybrid Swarm Intelligence Algorithm for Intrusion Detection Using Significant Features
Table 10
Accuracy rates using RFSM feature selection method and Friedman ranks.
| | Dataset | NB | J4.8 | RBF | SVM | ABC | MABC-EPSO |
| | DoS + 10% normal | 83.04 () | 90.05 () | 88.83 () | 94.02 () | 96.43 () | 99.81 () | | Probe + 10% normal | 84.01 () | 82.72 () | 85.94 () | 95.87 () | 97.31 () | 99.86 () | | R2L + 10% normal | 86.32 () | 83.10 () | 86.11 () | 97.04 () | 98.96 () | 99.80 () | | U2R + 10% normal | 85.15 () | 88.42 () | 88.98 () | 95.91 () | 98.96 () | 99.80 () |
| | Average rank | 5.25 | 5.25 | 4.5 | 3 | 2 | 1 |
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