Using a Subtractive Center Behavioral Model to Detect Malware

Table 11

Classifiers results on the proposed model without score (700 malware and 300 benign).

Classifier	DR (%)	FPR (%)	F-score (%)	Acc. (%)
J48	98.9	1.6	98.9	99
LMT	97.4	1.5	97.4	97.4
RF	93.9	8.2	92.2	94
SLR	97.3	1.4	97.3	97.3
SMO	89.8	12.1	89.9	90
KNN	88.3	7.3	88.5	88.4
BN	85.1	12.9	85.5	85
NB	78.3	14.1	79	78.4