About Dataset Citation This dataset was created and further refined as part of the following two publications: "Quo Vadis: Hybrid Machine Learning Meta Model Based on Contextual and Behavioral Malware Representations", Trizna et al., 2022, https://dl.acm.org/doi/10.1145/3560830.3563726 "Nebula: Self Attention for Dynamic Malware Analysis", Trizna et al., 2024, https://ieeexplore.ieee.org/document/10551436 If you used it in your research, please cite us: Arxiv references of both papers: arxiv.org/abs/2310.10664 and arxiv.org/abs/2208.12248. Description This dataset contains behavioral reports obtained with Speakeasy emulator from 93533 32 bit portable executables (PE). This is complementary dataset to https://huggingface.co/datasets/dtrizna/quovadis ember, which represents static EMBER features of the same malware samples. To reflect concept drift in malware: 76126 files that form a training set were collected in Jan 2022. 17407 files that form a test set were collected in Apr 2022. Labels Files located in report clean and report windows syswow64 are clean (benign). All others represent malware distributed over 7 families. A specific number of files in each folder: Training set repo…
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