Research Article
Using a Subtractive Center Behavioral Model to Detect Malware
Table 13
Classifiers results on the proposed model with score (6700 malware and 3000 benign).
| Classifier | DR (%) | FPR (%) | F-score (%) | Acc. (%) |
| J48 | 99.9 | 0.2 | 99.8 | 99.8 | LMT | 99.9 | 0.1 | 99.9 | 99.87 | RF | 99.8 | 0.4 | 99.8 | 99.82 | SLR | 97.4 | 2 | 97.5 | 97.4 | SMO | 93.2 | 6.8 | 93.2 | 93.1 | KNN | 99.6 | 0.8 | 99.6 | 99.62 | BN | 89 | 8.6 | 89.3 | 89 | NB | 75.6 | 15.3 | 76.5 | 75.62 |
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