Back to packageRELEASE DETAILS

0.1.0

PyPI

acad-iot

Adaptive Clustering and Anomaly Detection for IoT Network Security

Published24 Jul 2024

Direct dependencies4

Transitive dependenciesNot calculated

README

Version 0.1.0 documentation

ACADIoT

ACADIoT (Adaptive Clustering and Anomaly Detection for IoT Network Security) is a Python library that combines Adaptive Isolation Forest construction, K-means clustering, and PCA for data dimensionality reduction to detect anomalies and outliers in IoT networks.

Installation

pip install -r requirements.txt
python setup.py install
n

Downloads & popularity

Awaiting observations

No metric observations yet

Download counts and popularity will appear here as the collector receives them.

Declared dependencies 4

Native requirements

4 direct targetsNot calculated transitive count

Package / target	Requirement	Relationship
numpy Environment { "extras": "", "marker": null, "requires_python": ">=3.6", "evaluation": "NOT_EVALUATED" }	`numpy`	runtime
scikit-learn Environment { "extras": "", "marker": null, "requires_python": ">=3.6", "evaluation": "NOT_EVALUATED" }	`scikit-learn`	runtime
matplotlib Environment { "extras": "", "marker": null, "requires_python": ">=3.6", "evaluation": "NOT_EVALUATED" }	`matplotlib`	runtime
seaborn Environment { "extras": "", "marker": null, "requires_python": ">=3.6", "evaluation": "NOT_EVALUATED" }	`seaborn`	runtime