Development of Efficient Binary Logistic Regression-Based Intrusion Detection for Resource-Constrained Wireless Sensor and Internet of Things Nodes

Sophia Papadopoulou and Andreas Loizou

DOI: 10.5281/zenodo.19360482
Published: 2026
Container: Not recorded
Publisher: Zenodo
Open access: yes

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Cite this work

BibTeX

@article{allodium:10.5281/zenodo.19360482,
  title = {Development of Efficient Binary Logistic Regression-Based Intrusion Detection for Resource-Constrained Wireless Sensor and Internet of Things Nodes},
  author = {Sophia Papadopoulou and Andreas Loizou},
  year = {2026},
  doi = {10.5281/zenodo.19360482},
  url = {https://doi.org/10.5281/zenodo.19360482}
}

RIS

TY  - JOUR
TI  - Development of Efficient Binary Logistic Regression-Based Intrusion Detection for Resource-Constrained Wireless Sensor and Internet of Things Nodes
AU  - Sophia Papadopoulou and Andreas Loizou
PY  - 2026
DO  - 10.5281/zenodo.19360482
UR  - https://doi.org/10.5281/zenodo.19360482
ER  -

APA

Loizou, S. P. A. A. (2026). Development of Efficient Binary Logistic Regression-Based Intrusion Detection for Resource-Constrained Wireless Sensor and Internet of Things Nodes. https://doi.org/10.5281/zenodo.19360482

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datacite · retrieved 2026-09-26T13:23:26.005Z