EMBER
Introduced by Anderson et al. in EMBER: An Open Dataset for Training Static PE Malware Machine Learning Models
A labeled benchmark dataset for training machine learning models to statically detect malicious Windows portable executable files. The dataset includes features extracted from 1.1M binary files: 900K training samples (300K malicious, 300K benign, 300K unlabeled) and 200K test samples (100K malicious, 100K benign).
Source: EMBER: An Open Dataset for Training Static PE Malware Machine Learning ModelsPapers
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