MH-1M: A 1.34 Million-Sample Multi-Feature Android Malware Dataset with Rich Metadata

Hendrio Bragança, Diego Kreutz, Vanderson Rocha, Joner Assolin, Eduardo Feitosa

Open source

DOI: 10.1038/s41597-025-06469-5
Published: 2025-12-31
Container: Scientific Data
Publisher: Springer Science and Business Media LLC
Open access: unknown

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Cite this work

BibTeX

@article{allodium:10.1038/s41597-025-06469-5,
  title = {MH-1M: A 1.34 Million-Sample Multi-Feature Android Malware Dataset with Rich Metadata},
  author = {Hendrio Bragança and Diego Kreutz and Vanderson Rocha and Joner Assolin and Eduardo Feitosa},
  year = {2025},
  journal = {Scientific Data},
  doi = {10.1038/s41597-025-06469-5},
  url = {https://doi.org/10.1038/s41597-025-06469-5}
}

RIS

TY  - JOUR
TI  - MH-1M: A 1.34 Million-Sample Multi-Feature Android Malware Dataset with Rich Metadata
AU  - Hendrio Bragança
AU  - Diego Kreutz
AU  - Vanderson Rocha
AU  - Joner Assolin
AU  - Eduardo Feitosa
PY  - 2025
JO  - Scientific Data
DO  - 10.1038/s41597-025-06469-5
UR  - https://doi.org/10.1038/s41597-025-06469-5
ER  -

APA

Bragança, H., Kreutz, D., Rocha, V., Assolin, J., & Feitosa, E. (2025). MH-1M: A 1.34 Million-Sample Multi-Feature Android Malware Dataset with Rich Metadata. Scientific Data. https://doi.org/10.1038/s41597-025-06469-5

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crossref · retrieved 2026-09-25T17:27:09.788Z