Dynamic CNN BiGRU Datasets

The following table describes the datasets used in the Dynamic CNN BiGRU model.

Dynamic CNN BiGRU Datasets

Dataset Name	Benign Samples	Malicious Samples	Related Papers	Links	Extraction Script Link
mal2019	0	7107	Classification of Methamorphic Malware with Deep Learning (LSTM), A Benchmark API Call Dataset For Windows PE Malware Classification.	https://github.com/ocatak/malware_api_class	Dynamic_datasets_formatting_and_EDA.ipynb
malbehav	1285	1285	API-MalDetect: Automated malware detection framework for windows based on API calls and deep learning techniques	https://github.com/mpasco/MalbehavD-V1	Dynamic_datasets_formatting_and_EDA.ipynb
friendllcc	2000	2000	A novel deep framework for dynamic malware detection based on API sequence intrinsic features	https://github.com/friendllcc/Malware-Detection-API-Sequence-Intrinsic-Features	Dynamic_datasets_formatting_and_EDA.ipynb
oliveira	1079	42,797	Behavioral Malware Detection Using Deep Graph Convolutional Neural Networks	https://ieee-dataport.org/open-access/malware-analysis-datasets-api-call-sequences	Dynamic_datasets_formatting_and_EDA.ipynb
allan	100	452	Windows PE API calls for malicious and benigin programs	https://www.researchgate.net/publication/336024802_Windows_PE_API_calls_for_malicious_and_benigin_programs/link/5d8b6a4e92851c33e9395c89/download?_tp=eyJjb250ZXh0Ijp7ImZpcnN0UGFnZSI6InB1YmxpY2F0aW9uIiwicGFnZSI6InB1YmxpY2F0aW9uIn19	Dynamic_datasets_formatting_and_EDA.ipynb
zenodo	946	891	Dynamic Malware Analysis kernel and user-level calls	https://zenodo.org/records/1203289	zenodo_formatted_dataset.ipynb
barazily (Excluded)	N/A	N/A	The Need for Speed: An Analysis of Brazilian Malware Classifiers	https://github.com/fabriciojoc/brazilian-malware-dataset	zenodo_formatted_dataset.ipynb
apimds-dataset (Excluded)	N/A	N/A	A Novel Approach to Detect Malware Based on API Call Sequence Analysis	https://ocslab.hksecurity.net/apimds-dataset and https://github.com/leocsato/detector_mw	zenodo_formatted_dataset.ipynb