Research Article
A Novel Approach for Detecting DGA-Based Botnets in DNS Queries Using Machine Learning Techniques
Table 3
Comparison and evaluation of machine learning models with the main analysis component.
| | Algorithm name | predicted_dga actual_dga | predicted_dga actual_legit | predicted_legit actual_dga | predicted_legit actual_legit |
| | Decision tree | 24702 (99.1%) | 376 (0.9%) | 217 (1.2%) | 24697 (98.3%) | | Random forest | 24518 (98.6%) | 541 (1.4%) | 401 (2.2%) | 24532 (97.8%) | | SVM | 23976 (95.9%) | 1184 (4.1%) | 943 (4.1%) | 23889 (95.9) | | Logistic regression | 23254 (92.2%) | 1686 (7.8%) | 1665 (7.2%) | 23387 (22.6%) |
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