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홈
SOTA
Malware Classification
Malware Classification On Malimg Dataset
Malware Classification On Malimg Dataset
평가 지표
Accuracy (10-fold)
Macro F1 (10-fold)
평가 결과
이 벤치마크에서 각 모델의 성능 결과
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모델 이름
Accuracy (10-fold)
Macro F1 (10-fold)
Paper Title
Repository
Gray-scale IMG CNN
0.9848
0.9580
Using Convolutional Neural Networks for Classification of Malware represented as Images
GA Designed Deep CNN
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-
Designing Deep Convolutional Neural Networks using a Genetic Algorithm for Image-based Malware Classification
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GRU + SVM
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-
Towards Building an Intelligent Anti-Malware System: A Deep Learning Approach using Support Vector Machine (SVM) for Malware Classification
CNN + SVM
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Towards Building an Intelligent Anti-Malware System: A Deep Learning Approach using Support Vector Machine (SVM) for Malware Classification
FFNN + SVM
-
-
Towards Building an Intelligent Anti-Malware System: A Deep Learning Approach using Support Vector Machine (SVM) for Malware Classification
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