Assisting in Auditing of Buffer Overflow Vulnerabilities via Machine Learning

Table 10

The comparison between Joern and our proposed method.

	TP	FN	FP	TN	Recall (%)	TNR (%)	Precision (%)
Joern	6	12	2	177	33.3	98.9	75	46.2
KNN	12	6	11	168	66.7	93.9	52.2	58.6
DT	14	4	14	165	77.8	92.2	50	60.9
NB	15	3	15	164	83.3	91.6	50	62.5
AdaBoost	14	4	12	167	77.8	93.3	53.8	63.6
SVM	16	2	17	162	88.9	90.5	48.5	62.8