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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 this recipe, we will curate an LSB dataset and then train and test an ML model to detect the presence of LSB steganography in an image. Let's get started:

  1. Create an LSB database using the following command:
python aletheia.py lsbm-sim bossbase 0.40 bossbase_lsb

The result is a new folder named bossbase_lsb, which contains the BOSS images with embeddings. It does this using an LSB matching simulator.

  1. Featurize the BOSS dataset, as shown in the following code:
./aletheia.py srm bossbase bossbase.fea
  1. Featurize the LSB dataset, as shown in the following code:
./aletheia.py srm bossbase_lsb bossbase_lsb.fea

The remaining steps can be run in a Python environment for your convenience.

  1. Create some variables that point to ...
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Publisher Resources

ISBN: 9781789614671Supplemental Content