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--- |
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license: apache-2.0 |
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--- |
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# EMBER2024 Classifiers |
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This repository includes 14 LightGBM classifiers trained on different malware analysis tasks, including malicious/benign file detection, malware family identification, and malware behavior prediction. These classifiers were trained and evaluated using the EMBER2024 dataset. |
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Paper about the classifiers: [https://arxiv.org/pdf/2506.05074](https://arxiv.org/pdf/2506.05074) |
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GitHub repo for the EMBER2024 dataset: [https://github.com/FutureComputing4AI/EMBER2024/](https://github.com/FutureComputing4AI/EMBER2024/) |
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## Citing |
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If you use EMBER2024 in your own research, please cite it using: |
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``` |
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@inproceedings{joyce2025ember, |
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title={EMBER2024 - A Benchmark Dataset for Holistic Evaluation of Malware Classifiers}, |
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author={Robert J. Joyce and Gideon Miller and Phil Roth and Richard Zak and Elliott Zaresky-Williams and Hyrum Anderson and Edward Raff and James Holt}, |
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year={2025}, |
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booktitle={Proceedings of the 31st ACM SIGKDD Conference on Knowledge Discovery and Data Mining}, |
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} |
