Few-shot android malware classification with quantum-enhanced prototypical learning and drift detection.
- DOI
- 10.1038/s41598-026-45738-0
- Published
- 2026 Mar 28
- Container
- Scientific reports
- Publisher
- Not recorded
- Open access
- yes
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Cite this work
BibTeX
@article{allodium:10.1038/s41598-026-45738-0,
title = {Few-shot android malware classification with quantum-enhanced prototypical learning and drift detection.},
author = {Tawfik M and Tarazi H and Dalalah A and Bajeszeyadaljunaeidia and Shaban WM and Fathi IS},
year = {2026},
journal = {Scientific reports},
doi = {10.1038/s41598-026-45738-0},
url = {https://doi.org/10.1038/s41598-026-45738-0}
}RIS
TY - JOUR TI - Few-shot android malware classification with quantum-enhanced prototypical learning and drift detection. AU - Tawfik M AU - Tarazi H AU - Dalalah A AU - Bajeszeyadaljunaeidia AU - Shaban WM AU - Fathi IS PY - 2026 JO - Scientific reports DO - 10.1038/s41598-026-45738-0 UR - https://doi.org/10.1038/s41598-026-45738-0 ER -
APA
M, T., H, T., A, D., Bajeszeyadaljunaeidia, WM, S., & IS, F. (2026). Few-shot android malware classification with quantum-enhanced prototypical learning and drift detection.. Scientific reports. https://doi.org/10.1038/s41598-026-45738-0
Source records
- pubmed · retrieved 2026-09-25T14:47:43.946Z