Malware Classification On Microsoft Malware

评估指标

Accuracy (10-fold)

评测结果

各个模型在此基准测试上的表现结果

		Paper Title	Repository
Ahmadi et al. (2016): ENT, Bytes 1-G, STR, IMG1, IMG2, MD1, MISC, OPC, SEC, REG, DP, API, SYM, MD2 IMG and Opcode N-Grams + Ensemble Learning (XGBoost)	0.9976	HYDRA: A multimodal deep learning framework for malware classification	-
HYDRA	0.9975	HYDRA: A multimodal deep learning framework for malware classification	-
Zhang et al. (2016): Total lines of each Section, Operation Code Count, API Usage, Special Symbols Count, Asm File Pixel Intensity Feature, Bytes File Block Size Distribution, Bytes File N-Gram + Ensemble Learning (XGBoost)	0.9974	HYDRA: A multimodal deep learning framework for malware classification	-
Orthrus	0.9924	Orthrus: A Bimodal Learning Architecture for Malware Classification	-
Opcode-based Shallow CNN	0.9917	Convolutional Neural Network for Classification of Malware Assembly Code	-
Hierarchical Convolutional Network	0.9913	A Hierarchical Convolutional Neural Network for Malware Classification	-
SEA	0.9912	Sequential Embedding-based Attentive (SEA) classifier for malware classification
Dynamic Time Wrapping + K-NN	0.9894	Classification of Malware by Using Structural Entropy on Convolutional Neural Networks	-
Ahmadi et al. (2016): API feature vector + XGBoost	0.9868	HYDRA: A multimodal deep learning framework for malware classification	-
Autoencoders+Residual Network	0.9861	An End-to-End Deep Learning Architecture for Classification of Malware’s Binary Content	-
Multiresolution CNN	0.9828	Classification of Malware by Using Structural Entropy on Convolutional Neural Networks	-
CNN+BiLSTM	0.9820	A Hierarchical Convolutional Neural Network for Malware Classification	-
Scaled bytes sequence + CNN & Bidirectional LSTM	0.9814	HYDRA: A multimodal deep learning framework for malware classification	-
Grayscale images + Opcode N-grams (Feature selection for malware classification)	0.9770	Orthrus: A Bimodal Learning Architecture for Malware Classification	-
DeepConv	0.9756	A Hierarchical Convolutional Neural Network for Malware Classification	-
Gray-scale IMG CNN	0.9750	Using Convolutional Neural Networks for Classification of Malware represented as Images	-
Hierarchical Attention Network	0.9742	A Hierarchical Convolutional Neural Network for Malware Classification	-
Structural entropy CNN	0.9708	Classification of Malware by Using Structural Entropy on Convolutional Neural Networks	-
Narayanan et al. (2016): PCA features + 1-NN	0.9660	HYDRA: A multimodal deep learning framework for malware classification	-
Deep Transferred Generative Adversarial Networks	0.9639	Orthrus: A Bimodal Learning Architecture for Malware Classification	-

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