Research Article
Improved TLBO-JAYA Algorithm for Subset Feature Selection and Parameter Optimisation in Intrusion Detection System
Table 15
Comparison with the existing work for the CICIDS 2017 dataset.
| Ref. | Method | Dataset | Acc. | DR | FAR |
| [41] | Hybrid model | CICIDS | 89.76 | N.G | N.G | [42] | Wrapper-based feature selection | CICIDS | 97.68 | N.G | N.G | [43] | Feature selection technique and SVM | CICIDS | 0.9803 | N.G | N.G | TLBO-SVM | TLBO and SVM | CICIDS | 0.9794 | 0.9745 | 0.0274 | ITLBO-SVM | Improved TLBO and SVM | CICIDS | 0.9804 | 0.9755 | 0.0271 | ITLBO-JAYA-SVM | Improved TLBO, improved JAYA and SVM | CICIDS | 0.981 | 0.9773 | 0.0266 | ITLBO-IPJAYA-SVM | Improved TLBO, improved JAYA and SVM | CICIDS | 0.9817 | 0.9782 | 0.0264 |
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