Robust multi-class DDoS and fraud detection using a Context-Adaptive Deep Evolutionary Game Framework with CNN–BiGRU

Ashwini V., Priya V.

Open source

DOI: 10.3389/frai.2026.1928178
Published: 2026-09-30
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.2026.1928178,
  title = {Robust multi-class DDoS and fraud detection using a Context-Adaptive Deep Evolutionary Game Framework with CNN–BiGRU},
  author = {Ashwini V. and Priya V.},
  year = {2026},
  journal = {Frontiers in Artificial Intelligence},
  doi = {10.3389/frai.2026.1928178},
  url = {https://doi.org/10.3389/frai.2026.1928178}
}

RIS

TY  - JOUR
TI  - Robust multi-class DDoS and fraud detection using a Context-Adaptive Deep Evolutionary Game Framework with CNN–BiGRU
AU  - Ashwini V.
AU  - Priya V.
PY  - 2026
JO  - Frontiers in Artificial Intelligence
DO  - 10.3389/frai.2026.1928178
UR  - https://doi.org/10.3389/frai.2026.1928178
ER  -

APA

V., A., & V., P. (2026). Robust multi-class DDoS and fraud detection using a Context-Adaptive Deep Evolutionary Game Framework with CNN–BiGRU. Frontiers in Artificial Intelligence. https://doi.org/10.3389/frai.2026.1928178

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crossref · retrieved 2026-11-10T11:25:56.326Z