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

Pengbin Feng, Li Yang, Di Lu, Ning Xi, Jianfeng Ma

Open source

DOI: 10.1007/s11227-023-05243-x
Published: 2023-04-17
Container: The Journal of Supercomputing
Publisher: Springer Science and Business Media LLC
Open access: unknown

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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 = {Pengbin Feng and Li Yang and Di Lu and Ning Xi and Jianfeng Ma},
  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  - Pengbin Feng
AU  - Li Yang
AU  - Di Lu
AU  - Ning Xi
AU  - Jianfeng Ma
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

Feng, P., Yang, L., Lu, D., Xi, N., & Ma, J. (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

crossref · retrieved 2026-11-10T21:31:43.971Z