A novel deep learning-based framework with particle swarm optimisation for intrusion detection in computer networks.

Yılmaz AA

Open source

DOI
10.1371/journal.pone.0316253
Published
2025
Container
PloS one
Publisher
Not recorded
Open access
yes

Credibility signals

uncertain Score 53/100 under policy 1.0.0. This is a metadata assessment, not a judgment of the paper's conclusions.

Show all credibility signals

Cite this work

BibTeX

@article{allodium:10.1371/journal.pone.0316253,
  title = {A novel deep learning-based framework with particle swarm optimisation for intrusion detection in computer networks.},
  author = {Yılmaz AA},
  year = {2025},
  journal = {PloS one},
  doi = {10.1371/journal.pone.0316253},
  url = {https://doi.org/10.1371/journal.pone.0316253}
}

RIS

TY  - JOUR
TI  - A novel deep learning-based framework with particle swarm optimisation for intrusion detection in computer networks.
AU  - Yılmaz AA
PY  - 2025
JO  - PloS one
DO  - 10.1371/journal.pone.0316253
UR  - https://doi.org/10.1371/journal.pone.0316253
ER  - 

APA

AA, Y. (2025). A novel deep learning-based framework with particle swarm optimisation for intrusion detection in computer networks.. PloS one. https://doi.org/10.1371/journal.pone.0316253

Source records