End-to-End Machine Learning Pipeline for Real-Time Network Traffic Classification and Monitoring in Android Automotive

Unknown, Sriram M, Susmithaa Raam A, Unknown, Vignesh B, Unknown, Dr. Balasubramanian V, Unknown

Open source

DOI: 10.35940/ijitee.g9982.0611722
Published: 2022-06-30
Container: International Journal of Innovative Technology and Exploring Engineering
Publisher: Blue Eyes Intelligence Engineering and Sciences Engineering and Sciences Publication - BEIESP
Open access: unknown

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Cite this work

BibTeX

@article{allodium:10.35940/ijitee.g9982.0611722,
  title = {End-to-End Machine Learning Pipeline for Real-Time Network Traffic Classification and Monitoring in Android Automotive},
  author = {Unknown and Sriram M and Susmithaa Raam A and Unknown and Vignesh B and Unknown and Dr. Balasubramanian V and Unknown},
  year = {2022},
  journal = {International Journal of Innovative Technology and Exploring Engineering},
  doi = {10.35940/ijitee.g9982.0611722},
  url = {https://doi.org/10.35940/ijitee.g9982.0611722}
}

RIS

TY  - JOUR
TI  - End-to-End Machine Learning Pipeline for Real-Time Network Traffic Classification and Monitoring in Android Automotive
AU  - Unknown
AU  - Sriram M
AU  - Susmithaa Raam A
AU  - Unknown
AU  - Vignesh B
AU  - Unknown
AU  - Dr. Balasubramanian V
AU  - Unknown
PY  - 2022
JO  - International Journal of Innovative Technology and Exploring Engineering
DO  - 10.35940/ijitee.g9982.0611722
UR  - https://doi.org/10.35940/ijitee.g9982.0611722
ER  -

APA

Unknown, M, S., A, S. R., Unknown, B, V., Unknown, V, D. B., & Unknown (2022). End-to-End Machine Learning Pipeline for Real-Time Network Traffic Classification and Monitoring in Android Automotive. International Journal of Innovative Technology and Exploring Engineering. https://doi.org/10.35940/ijitee.g9982.0611722

Source records

crossref · retrieved 2026-09-26T10:07:38.733Z