An efficient method for network traffic anomaly detection based on SHAP and deep learning.

Fang Z, Xuan P, Ding H.

DOI: 10.1371/journal.pone.0356069
Published: 2026-08-28
Container: PLoS One
Publisher: Not recorded
Open access: yes

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Cite this work

BibTeX

@article{allodium:10.1371/journal.pone.0356069,
  title = {An efficient method for network traffic anomaly detection based on SHAP and deep learning.},
  author = {Fang Z and  Xuan P and  Ding H.},
  year = {2026},
  journal = {PLoS One},
  doi = {10.1371/journal.pone.0356069},
  url = {https://doi.org/10.1371/journal.pone.0356069}
}

RIS

TY  - JOUR
TI  - An efficient method for network traffic anomaly detection based on SHAP and deep learning.
AU  - Fang Z
AU  -  Xuan P
AU  -  Ding H.
PY  - 2026
JO  - PLoS One
DO  - 10.1371/journal.pone.0356069
UR  - https://doi.org/10.1371/journal.pone.0356069
ER  -

APA

Z, F., P, X., & H., D. (2026). An efficient method for network traffic anomaly detection based on SHAP and deep learning.. PLoS One. https://doi.org/10.1371/journal.pone.0356069

Source records

europe-pmc · retrieved 2026-09-24T23:49:31.759Z