Deep learning-based android malware detection under realistic evaluation constraints: an architecture-centric review and reliability-aware empirical validation
- DOI
- 10.3389/frai.2026.1964400
- Published
- 2026-10-14
- Container
- Frontiers in Artificial Intelligence
- Publisher
- Frontiers Media SA
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.3389/frai.2026.1964400,
title = {Deep learning-based android malware detection under realistic evaluation constraints: an architecture-centric review and reliability-aware empirical validation},
author = {Syed Shuja Hussain and Mohd Faizal Ab Razak and Idris Ismail and Ahmad Firdaus and Abdul Azeem and Jamil Zara and Shamim Akhter},
year = {2026},
journal = {Frontiers in Artificial Intelligence},
doi = {10.3389/frai.2026.1964400},
url = {https://doi.org/10.3389/frai.2026.1964400}
}RIS
TY - JOUR TI - Deep learning-based android malware detection under realistic evaluation constraints: an architecture-centric review and reliability-aware empirical validation AU - Syed Shuja Hussain AU - Mohd Faizal Ab Razak AU - Idris Ismail AU - Ahmad Firdaus AU - Abdul Azeem AU - Jamil Zara AU - Shamim Akhter PY - 2026 JO - Frontiers in Artificial Intelligence DO - 10.3389/frai.2026.1964400 UR - https://doi.org/10.3389/frai.2026.1964400 ER -
APA
Hussain, S. S., Razak, M. F. A., Ismail, I., Firdaus, A., Azeem, A., Zara, J., & Akhter, S. (2026). Deep learning-based android malware detection under realistic evaluation constraints: an architecture-centric review and reliability-aware empirical validation. Frontiers in Artificial Intelligence. https://doi.org/10.3389/frai.2026.1964400
Source records
- crossref · retrieved 2026-11-10T11:35:32.338Z