Supervised Network Anomaly Classification Using Machine Learning for Intrusion Detection Systems

Ade Yoseman Putra, Rusdianto Roestam

Open source

DOI
10.20944/preprints202608.1680.v1
Published
2026-08-24
Container
Not recorded
Publisher
MDPI AG
Open access
unknown

Credibility signals

uncertain Score 60/100 under policy 1.0.0. This is a metadata assessment, not a judgment of the paper's conclusions.

Show all credibility signals

Cite this work

BibTeX

@article{allodium:10.20944/preprints202608.1680.v1,
  title = {Supervised Network Anomaly Classification Using Machine Learning for Intrusion Detection Systems},
  author = {Ade Yoseman Putra and Rusdianto Roestam},
  year = {2026},
  doi = {10.20944/preprints202608.1680.v1},
  url = {https://doi.org/10.20944/preprints202608.1680.v1}
}

RIS

TY  - JOUR
TI  - Supervised Network Anomaly Classification Using Machine Learning for Intrusion Detection Systems
AU  - Ade Yoseman Putra
AU  - Rusdianto Roestam
PY  - 2026
DO  - 10.20944/preprints202608.1680.v1
UR  - https://doi.org/10.20944/preprints202608.1680.v1
ER  - 

APA

Putra, A. Y., & Roestam, R. (2026). Supervised Network Anomaly Classification Using Machine Learning for Intrusion Detection Systems. https://doi.org/10.20944/preprints202608.1680.v1

Source records