Table 5 Classifier performance results, reproduced from [62], classifier names are abbreviated as follows: Deep Convolutional Neural Network (\(\text {DCNN}\)), Radial Basis Function Support Vector Machine (\(\text {RBF SVM}\)), Multi-Layer Perceptron (MLP), Extreme Learning Machine (\(\text {ELM}\)), Radial Basis Function (\(\text {RBF}\)); NSLKDDTest+ and NSLKDDTest21 are partitions of the NSLKDD dataset [71] for evaluating trained models
Classifier name | AuC for NSLKDDTest+ | Classifier name | AuC for NSLKDDTest21 |
|---|---|---|---|
DCNN | 0.965 | DCNN | 0.926 |
Random-Forest | 0.958 | RBF SVM | 0.867 |
RBF SVM | 0.920 | k-NN | 0.825 |
Decision Tree | 0.915 | ELM Generalized | 0.807 |
MLP | 0.887 | ELM RBF | 0.803 |