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
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1 maintainer
Metadata
1 maintainer
Release files for acad-iot 0.1.0
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Source distribution (sdist)
| File | Size | Uploaded | Provenance | |
|---|---|---|---|---|
| acad_iot-0.1.0.tar.gz | 3.0 kB | Without provenance | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| acad_iot-0.1.0-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 7.0 kB
Release files / acad_iot-0.1.0.tar.gz
| Download URL | acad_iot-0.1.0.tar.gz |
|---|---|
| Size | 3.0 kB |
| Tags | Source |
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SHA-256 checksum How to use checksums |
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No |
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twine/5.1.1 CPython/3.12.4
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Release files / acad_iot-0.1.0-py3-none-any.whl
| Download URL | acad_iot-0.1.0-py3-none-any.whl |
|---|---|
| Size | 3.9 kB |
| Tags | Python 3 |
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SHA-256 checksum How to use checksums |
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No |
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twine/5.1.1 CPython/3.12.4
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Security for acad-iot 0.1.0
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