terminalai / MALPRED

Full Repository for "MALPRED: Predictive Modeling for Malware Detection in Windows Systems using Ensemble Learning"

MALPRED

Predictive Modeling for Malware Detection in Windows Systems using Ensemble Learning

Figure 1: Diagram of Structure of MALPRED

Feature Engineering

You can refer to data_cleaning/ for the data cleaning system. However, for a basic idea, refer to the following diagram:

Figure 2: Diagram of Feature Engineering in MALPRED

Results

Models	AUC-ROC	Accuracy	Recall	Precision
Stack Model	73.03	66.45	66.25	66.49
XGBoost	72.19	65.79	65.18	65.96
LightGBM	71.25	65.08	64.21	65.33
CatBoost	70.92	64.78	63.50	65.15
MLP	70.72	64.62	63.56	64.94
GBC	69.50	63.57	64.22	63.38
ADA	68.75	63.14	64.87	62.68
LDA	66.72	61.68	57.79	62.64
QDA	66.23	56.98	65.85	61.51
DT	57.60	57.60	57.73	57.56
Dummy	50.00	50.02	00.00	00.00
Ridge	-	61.68	57.79	62.64
SVM	-	61.34	51.93	63.97

Web Application

Figure 3: Web Application of MALPRED