Automating network exploit detection using highly accurate pre-trained deep neural networks
5.2K
As of 2018-03-12, the core can repeatedly predict attacks on Django, Flask, React + Redux, Vue, and Spring application servers by training using the pre-recorded AntiNex datasets with cross validation scores above ~99.8% with automated scaler normalization.
This container is a python 3.6 slim image with Keras + Tensorflow + Pandas + Numpy + Jupyter + JupyterLab (work in progress) + Seaborn
Use this container to boot up Jupyter to validate the results and to run the celery worker core.
Content type
Image
Digest
Size
1 GB
Last updated
almost 8 years ago
docker pull jayjohnson/ai-core