Ask HN: Feedback setting up an IoT malware test bed for an AI dataset

I'm trying to teach AI how to defend against network exploits over ssh and telnet and make it all free open source. I wanted to know if anyone on here has any insights that I might be missing with the initial proposal to: use a test bed for recording a distributed malware simulation to generate some initial training datasets.

For background, I am hoping to reuse all of the v1 webapp process which yielded datasets where neural networks can hit >99.7% accuracy at predicting attacks (https://github.com/jay-johnson/antinex-core/blob/master/docker/notebooks/AntiNex-Using-Pre-Trained-Deep-Neural-Networks-For-Defense.ipynb). I really just want to hear if I am missing something obvious before I start testing and building the dataset and hacker news is where I have learned so much about so many different things I had never heard about.

Here's my proposal for the simulation and test bed: https://github.com/jay-johnson/antinex-datasets/tree/v2/v2/malware

Docs if you're curious: http://antinex.readthedocs.io/en/latest/