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Machine Learning for Cybersecurity Cookbook
book

Machine Learning for Cybersecurity Cookbook

by Emmanuel Tsukerman
November 2019
Intermediate to advanced content levelIntermediate to advanced
346 pages
9h 36m
English
Packt Publishing
Content preview from Machine Learning for Cybersecurity Cookbook

How to do it…

In the following steps, we will train PassGAN on a corpus of leaked passwords and then use it to generate new password guesses. Let's get started:

  1. Train your neural network on the dataset by running the following command:
python train.py --output-dir output --training-data data/train.txt
  1. Generate a list of (100,000) password guesses by running the following command:
python sample.py \--input-dir pretrained \--checkpoint pretrained/checkpoints/195000.ckpt \--output gen_passwords.txt \--batch-size 1024 \--num-samples 100000

Your Terminal should look something like the following:

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Publisher Resources

ISBN: 9781789614671Supplemental Content