Explainable AI for malware analysis: a systematic review of benchmark datasets, traffic-oriented detection, and interpretability methods.
- DOI
- 10.7717/peerj-cs.3902
- Published
- 2026
- Container
- PeerJ. Computer science
- Publisher
- Not recorded
- Open access
- yes
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Cite this work
BibTeX
@article{allodium:10.7717/peerj-cs.3902,
title = {Explainable AI for malware analysis: a systematic review of benchmark datasets, traffic-oriented detection, and interpretability methods.},
author = {Yu B and Zhang W and Liu Y and Ahmad A and Obidallah WJ and Alduraywish YA and Ullah F and Yoshigoe K and Zhao Y},
year = {2026},
journal = {PeerJ. Computer science},
doi = {10.7717/peerj-cs.3902},
url = {https://doi.org/10.7717/peerj-cs.3902}
}RIS
TY - JOUR TI - Explainable AI for malware analysis: a systematic review of benchmark datasets, traffic-oriented detection, and interpretability methods. AU - Yu B AU - Zhang W AU - Liu Y AU - Ahmad A AU - Obidallah WJ AU - Alduraywish YA AU - Ullah F AU - Yoshigoe K AU - Zhao Y PY - 2026 JO - PeerJ. Computer science DO - 10.7717/peerj-cs.3902 UR - https://doi.org/10.7717/peerj-cs.3902 ER -
APA
B, Y., W, Z., Y, L., A, A., WJ, O., YA, A., F, U., K, Y., & Y, Z. (2026). Explainable AI for malware analysis: a systematic review of benchmark datasets, traffic-oriented detection, and interpretability methods.. PeerJ. Computer science. https://doi.org/10.7717/peerj-cs.3902
Source records
- pubmed · retrieved 2026-11-10T06:52:36.749Z