Novel approach of encrypted network traffic classification using deep convolutional neural network with Artificial Bee Colony and Genetic Algorithm.

Mohanty SK, Rath S, Sahu SR, Parida BK, Balabantaray RC

DOI: 10.3389/fdata.2026.1821270
Published: 2026
Container: Frontiers in big data
Publisher: Not recorded
Open access: yes

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Cite this work

BibTeX

@article{allodium:10.3389/fdata.2026.1821270,
  title = {Novel approach of encrypted network traffic classification using deep convolutional neural network with Artificial Bee Colony and Genetic Algorithm.},
  author = {Mohanty SK and Rath S and Sahu SR and Parida BK and Balabantaray RC},
  year = {2026},
  journal = {Frontiers in big data},
  doi = {10.3389/fdata.2026.1821270},
  url = {https://doi.org/10.3389/fdata.2026.1821270}
}

RIS

TY  - JOUR
TI  - Novel approach of encrypted network traffic classification using deep convolutional neural network with Artificial Bee Colony and Genetic Algorithm.
AU  - Mohanty SK
AU  - Rath S
AU  - Sahu SR
AU  - Parida BK
AU  - Balabantaray RC
PY  - 2026
JO  - Frontiers in big data
DO  - 10.3389/fdata.2026.1821270
UR  - https://doi.org/10.3389/fdata.2026.1821270
ER  -

APA

SK, M., S, R., SR, S., BK, P., & RC, B. (2026). Novel approach of encrypted network traffic classification using deep convolutional neural network with Artificial Bee Colony and Genetic Algorithm.. Frontiers in big data. https://doi.org/10.3389/fdata.2026.1821270

Source records

pubmed · retrieved 2026-11-10T07:06:20.428Z