EMBER

Introduced in EMBER: An Open Dataset for Training Static PE Malware Machine Learning Models

About this Dataset

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 Models

Dataset Variants

EMBER

Papers1

EMBER: An Open Dataset for Training Static PE Malware Machine Learning Models

The authors hope that the dataset, code and baseline model provided by EMBER will help invigorate machine learning research for malware detection, in much the same way that benchmark datasets have advanced computer vision research.

Dataset Loaders

EDIT

📦

endgameinc/ember

none

Tasks

EDIT

Feature Engineering Malware Classification Malware Detection

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Statistics

Papers

1

Tasks

128

License

MIT