Research Article
Assisting in Auditing of Buffer Overflow Vulnerabilities via Machine Learning
Table 11
Performances of our five classifiers on Poppler 0.10.6.
| Classifier | TP | FN | FP | TN | Recall (%) | TNR (%) | Precision (%) | (%) | SVFs | Sink functions | All functions |
| KNN | 7 | 4 | 37 | 648 | 63.6 | 94.6 | 15.9 | 25.4 | 44 | 685 | 4876 | DT | 8 | 3 | 44 | 641 | 72.7 | 93.6 | 15.4 | 25.4 | 52 | NB | 10 | 1 | 52 | 633 | 90.9 | 92.4 | 16.1 | 27.4 | 62 | AdaBoost | 9 | 2 | 39 | 646 | 81.8 | 94.3 | 18.8 | 30.6 | 48 | SVM | 10 | 1 | 35 | 650 | 90.9 | 94.9 | 22.2 | 35.7 | 45 |
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