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

EMBER: A Big, Open Dataset to Help Spot Malware in Windows Files

EMBER brings a huge, labeled collection of Windows file info so people can train tools to find bad programs, and protect computers better.
The set contains features from about 1.
1M files, split into training and test groups so models can learn and be checked, it was built to be useful for many teams.
The project also shares easy code so anyone can add more file data, making the collection grow over time and stay useful.

In simple tests the baseline model trained on EMBER beat a recent deep learning approach, even without fussing with settings, this shows the value of clean, big data.
EMBER is open and meant to be a common starting place for research and practical tools.
If you work on security, or just curious, EMBER gives a way to try ideas faster and help keep devices safe.
The dataset hopes to spark better detectors and new tools against malware, by giving researchers real, shared data to build on.

Read article comprehensive review in Paperium.net:
EMBER: An Open Dataset for Training Static PE Malware Machine Learning Models

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