HYDRA: A multimodal deep learning framework for malware classification | ✓ Link | 0.9976 | | 0.9931 | | | | 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) | 2020-05-12 |
HYDRA: A multimodal deep learning framework for malware classification | ✓ Link | 0.9975 | | 0.9951 | | | | HYDRA | 2020-05-12 |
HYDRA: A multimodal deep learning framework for malware classification | ✓ Link | 0.9974 | | 0.9938 | | | | 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) | 2020-05-12 |
Orthrus: A Bimodal Learning Architecture for Malware Classification | ✓ Link | 0.9924 | | 0.9872 | | | | Orthrus | 2020-09-28 |
Convolutional Neural Network for Classification of Malware Assembly Code | ✓ Link | 0.9917 | 0.0244 | 0.9856 | | | | Opcode-based Shallow CNN | 2017-10-27 |
A Hierarchical Convolutional Neural Network for Malware Classification | | 0.9913 | 0.0419 | 0.9830 | | | | Hierarchical Convolutional Network | 2019-09-30 |
Sequential Embedding-based Attentive (SEA) classifier for malware classification | ✓ Link | 0.9912 | 0.0431 | 0.9908 | | | | SEA | 2023-02-11 |
Classification of Malware by Using Structural Entropy on Convolutional Neural Networks | ✓ Link | 0.9894 | 0.367724 | 0.9813 | | | | Dynamic Time Wrapping + K-NN | 2018-04-27 |
HYDRA: A multimodal deep learning framework for malware classification | ✓ Link | 0.9868 | | 0.9638 | | | | Ahmadi et al. (2016): API feature vector + XGBoost | 2020-05-12 |
An End-to-End Deep Learning Architecture for Classification of Malware’s Binary Content | | 0.9861 | 0.106343 | 0.9719 | | | | Autoencoders+Residual Network | 2018-09-27 |
Classification of Malware by Using Structural Entropy on Convolutional Neural Networks | ✓ Link | 0.9828 | 0.124431 | 0.9636 | | | | Multiresolution CNN | 2018-04-27 |
A Hierarchical Convolutional Neural Network for Malware Classification | | 0.9820 | 0.0744 | 0.9605 | | | | CNN+BiLSTM | 2019-09-30 |
HYDRA: A multimodal deep learning framework for malware classification | ✓ Link | 0.9814 | | 0.9662 | | | | Scaled bytes sequence + CNN & Bidirectional LSTM | 2020-05-12 |
Orthrus: A Bimodal Learning Architecture for Malware Classification | ✓ Link | 0.9770 | | | | | | Grayscale images + Opcode N-grams (Feature selection for malware classification) | 2020-09-28 |
A Hierarchical Convolutional Neural Network for Malware Classification | | 0.9756 | 0.1602 | 0.9071 | | | | DeepConv | 2019-09-30 |
Using Convolutional Neural Networks for Classification of Malware represented as Images | ✓ Link | 0.9750 | 0.184483 | 0.9400 | 0.973 | | | Gray-scale IMG CNN | 2018-08-27 |
A Hierarchical Convolutional Neural Network for Malware Classification | | 0.9742 | 0.0933 | 0.9468 | | | | Hierarchical Attention Network | 2019-09-30 |
Classification of Malware by Using Structural Entropy on Convolutional Neural Networks | ✓ Link | 0.9708 | 0.134624 | 0.9314 | | | | Structural entropy CNN | 2018-04-27 |
HYDRA: A multimodal deep learning framework for malware classification | ✓ Link | 0.9660 | | 0.9102 | | | | Narayanan et al. (2016): PCA features + 1-NN | 2020-05-12 |
Orthrus: A Bimodal Learning Architecture for Malware Classification | ✓ Link | 0.9639 | | | | | | Deep Transferred Generative Adversarial Networks | 2020-09-28 |
HYDRA: A multimodal deep learning framework for malware classification | ✓ Link | 0.2707 | | | | | | Zero Rule Classifier | 2020-05-12 |
HYDRA: A multimodal deep learning framework for malware classification | ✓ Link | 0.1755 | | | | | | Random Guess Classifier | 2020-05-12 |
Classification of Malware by Using Structural Entropy on Convolutional Neural Networks | ✓ Link | | 0.075081 | | | | | Multiresolution CNN + Bagging | 2018-04-27 |
A Hierarchical Convolutional Neural Network for Malware Classification | | 0,9641 | 0.3071 | 0.8902 | | | | MalConv | 2019-09-30 |
Malware Classification Using Static Disassembly and Machine Learning | ✓ Link | | | | 98.94 | | | TPOT Classifier | 2021-12-10 |
Deep learning at the shallow end: Malware classification for non-domain experts | ✓ Link | | | | 98.20 | 96.05 | | CNN BiLSTM - Reb Sampl | 2018-07-22 |
Using Convolutional Neural Networks for Classification of Malware represented as Images | ✓ Link | | | | 0.9550 | | | Haralick features + XGBoost | 2018-08-27 |
Using Convolutional Neural Networks for Classification of Malware represented as Images | ✓ Link | | | | 0.951 | | | LBP features + XGBoost | 2018-08-27 |
Designing Deep Convolutional Neural Networks using a Genetic Algorithm for Image-based Malware Classification | | | | | | | 0.9307 | GA Designed Deep CNN | 2022-07-18 |