Adaptive continual botnet detection with self-supervised prototypical networks and few-shot learning for evolving botnet detection.

Junar N, Arockiasamy K

DOI: 10.3389/frai.2026.1865639
Published: 2026
Container: Frontiers in artificial intelligence
Publisher: Not recorded
Open access: yes

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BibTeX

@article{allodium:10.3389/frai.2026.1865639,
  title = {Adaptive continual botnet detection with self-supervised prototypical networks and few-shot learning for evolving botnet detection.},
  author = {Junar N and Arockiasamy K},
  year = {2026},
  journal = {Frontiers in artificial intelligence},
  doi = {10.3389/frai.2026.1865639},
  url = {https://doi.org/10.3389/frai.2026.1865639}
}

RIS

TY  - JOUR
TI  - Adaptive continual botnet detection with self-supervised prototypical networks and few-shot learning for evolving botnet detection.
AU  - Junar N
AU  - Arockiasamy K
PY  - 2026
JO  - Frontiers in artificial intelligence
DO  - 10.3389/frai.2026.1865639
UR  - https://doi.org/10.3389/frai.2026.1865639
ER  -

APA

N, J., & K, A. (2026). Adaptive continual botnet detection with self-supervised prototypical networks and few-shot learning for evolving botnet detection.. Frontiers in artificial intelligence. https://doi.org/10.3389/frai.2026.1865639

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pubmed · retrieved 2026-09-24T23:48:12.339Z