Detecting attacks in a stream
Probabilistic sketches compress network-flow windows before attack classification on UNSW-NB15.
Try the method
Interactive explainerHow it works.
Window the events
Group network flows into 30-second tumbling windows.
From the original project.
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Original artifact ↗
Continue in the source.
Open the source notebook in Jupyter, Colab, or the environment described in the README. Data and model downloads may be required.
git clone https://github.com/eforus-overseer/streaming-attack-detection.gitProject artifacts.
streaming-attack-detection/attack_detection_with_sketches.ipynb ↗streaming-algorithm-analysis/fm_and_cms_analysis.ipynb ↗streaming-attack-detection/attack_detection_databricks.py ↗
Source links point to the original public repository. Credit belongs to the project authors and the dependencies credited there.