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Ransomware detection on Custom threat-informed dynamic behavioral dataset

99.1AccuracyTL-RL-FusionNet
89.407291.923694.4496.9564Apr 22, 2026

Evaluation results

MethodLinks
TL-RL-FusionNetAnalysis Technique=Dynamic, Feature Extractor(s)=EfficientNetB0 + InceptionV3, RL-based Sample Weighting=Yes, Classifier=RL enhanced Residual MLP, Training Time (s)=13.90, Prediction Time (s)=0.23, Memory Usage (MB)=0.662026.0499.17020
Bi-KNNAnalysis Technique=Static, Feature Extractor(s)=VGG-16 + ResNet50, RL-based Sample Weighting=No, Classifier=Bi-KNN, Training Time (s)=18.9282026.0499——
XGBoostAnalysis Technique=Static, Feature Extractor(s)=DenseNet-121, RL-based Sample Weighting=No, Classifier=XGBoost2026.0498.58——
MLPAnalysis Technique=Static, Feature Extractor(s)=VGG16, VGG19, ResNet50, InceptionV3, RL-based Sample Weighting=No, Classifier=MLP, Prediction Time (s)=0.4712026.0498.55——
CyberForce (FL and RL)Analysis Technique=Dynamic, Classifier=FL and RL2026.0498——
SVMAnalysis Technique=Static, Feature Extractor(s)=VGG-16, RL-based Sample Weighting=No, Classifier=SVM2026.0492.97——
DRL (A2C)Analysis Technique=Static, RL-based Sample Weighting=No, Classifier=DRL (A2C, DQN, DDQN, PPO), Training Time (s)=168.27, Prediction Time (s)=0.762026.0489.78——