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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…

  1. Collect a training dataset of gadgets and place it under datasets. Two datasets are available in the datasets folder, and they are of this form:

  1. Train and test the deep learning model on your dataset.

This is accomplished by running the following command:

python vuldeepecker_train.py "path to dataset"

 The output is displayed in the following screenshot:

  1. Collect the dataset you would like to predict on and place it under datasets:
  1. Use your trained model to predict whether these are vulnerable pieces of code by running ...
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Publisher Resources

ISBN: 9781789614671Supplemental Content