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

Niranjana Junar, Karmel Arockiasamy

Open source

DOI: 10.3389/frai.2026.1865639
Published: 2026-08-24
Container: Frontiers in Artificial Intelligence
Publisher: Frontiers Media SA
Open access: unknown

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Cite this work

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 = {Niranjana Junar and Karmel Arockiasamy},
  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  - Niranjana Junar
AU  - Karmel Arockiasamy
PY  - 2026
JO  - Frontiers in Artificial Intelligence
DO  - 10.3389/frai.2026.1865639
UR  - https://doi.org/10.3389/frai.2026.1865639
ER  -

APA

Junar, N., & Arockiasamy, K. (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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crossref · retrieved 2026-11-06T23:13:20.236Z