Artificial Intelligence-Based Anomaly Detection Technology over Encrypted Traffic: A Systematic Literature Review.

Ji IH, Lee JH, Kang MJ, Park WJ, Jeon SH, Seo JT

DOI: 10.3390/s24030898
Published: 2024 Jan 30
Container: Sensors (Basel, Switzerland)
Publisher: Not recorded
Open access: yes

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limited evidence Score 45/100 under policy 1.0.0. This is a metadata assessment, not a judgment of the paper's conclusions.

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Cite this work

BibTeX

@article{allodium:10.3390/s24030898,
  title = {Artificial Intelligence-Based Anomaly Detection Technology over Encrypted Traffic: A Systematic Literature Review.},
  author = {Ji IH and Lee JH and Kang MJ and Park WJ and Jeon SH and Seo JT},
  year = {2024},
  journal = {Sensors (Basel, Switzerland)},
  doi = {10.3390/s24030898},
  url = {https://doi.org/10.3390/s24030898}
}

RIS

TY  - JOUR
TI  - Artificial Intelligence-Based Anomaly Detection Technology over Encrypted Traffic: A Systematic Literature Review.
AU  - Ji IH
AU  - Lee JH
AU  - Kang MJ
AU  - Park WJ
AU  - Jeon SH
AU  - Seo JT
PY  - 2024
JO  - Sensors (Basel, Switzerland)
DO  - 10.3390/s24030898
UR  - https://doi.org/10.3390/s24030898
ER  -

APA

IH, J., JH, L., MJ, K., WJ, P., SH, J., & JT, S. (2024). Artificial Intelligence-Based Anomaly Detection Technology over Encrypted Traffic: A Systematic Literature Review.. Sensors (Basel, Switzerland). https://doi.org/10.3390/s24030898

Source records

pubmed · retrieved 2026-09-24T18:36:27.561Z