BejaGNN: behavior-based Java malware detection via graph neural network.

Feng P, Yang L, Lu D, Xi N, Ma J

DOI: 10.1007/s11227-023-05243-x
Published: 2023 Apr 17
Container: The Journal of supercomputing
Publisher: Not recorded
Open access: yes

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Cite this work

BibTeX

@article{allodium:10.1007/s11227-023-05243-x,
  title = {BejaGNN: behavior-based Java malware detection via graph neural network.},
  author = {Feng P and Yang L and Lu D and Xi N and Ma J},
  year = {2023},
  journal = {The Journal of supercomputing},
  doi = {10.1007/s11227-023-05243-x},
  url = {https://doi.org/10.1007/s11227-023-05243-x}
}

RIS

TY  - JOUR
TI  - BejaGNN: behavior-based Java malware detection via graph neural network.
AU  - Feng P
AU  - Yang L
AU  - Lu D
AU  - Xi N
AU  - Ma J
PY  - 2023
JO  - The Journal of supercomputing
DO  - 10.1007/s11227-023-05243-x
UR  - https://doi.org/10.1007/s11227-023-05243-x
ER  -

APA

P, F., L, Y., D, L., N, X., & J, M. (2023). BejaGNN: behavior-based Java malware detection via graph neural network.. The Journal of supercomputing. https://doi.org/10.1007/s11227-023-05243-x

Source records

pubmed · retrieved 2026-09-25T12:33:39.293Z
europe-pmc · retrieved 2026-09-25T12:33:39.306Z