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Machine Learning for Cybersecurity Cookbook

You're reading from   Machine Learning for Cybersecurity Cookbook Over 80 recipes on how to implement machine learning algorithms for building security systems using Python

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Product type Paperback
Published in Nov 2019
Publisher Packt
ISBN-13 9781789614671
Length 346 pages
Edition 1st Edition
Languages
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Author (1):
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Emmanuel Tsukerman Emmanuel Tsukerman
Author Profile Icon Emmanuel Tsukerman
Emmanuel Tsukerman
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Toc

Table of Contents (11) Chapters Close

Preface 1. Machine Learning for Cybersecurity 2. Machine Learning-Based Malware Detection FREE CHAPTER 3. Advanced Malware Detection 4. Machine Learning for Social Engineering 5. Penetration Testing Using Machine Learning 6. Automatic Intrusion Detection 7. Securing and Attacking Data with Machine Learning 8. Secure and Private AI 9. Other Books You May Enjoy Appendix

Keystroke dynamics

Keystroke dynamics, aka typing biometrics, is the study of recognizing a person by the way they type. One important use case is recognizing which user is logging in using a given credential, for example, who is logging in as root? Another use case is recognizing when a different user has typed a sequence of keystrokes. In this recipe, we'll show how to use a machine learning-based keystroke dynamics algorithm.

Getting ready

This recipe will require a Linux virtual or real machine. In preparation, do the following:

  1. Install git on your device.

In a Terminal, run the following command:

sudo apt install git
  1. Clone the git repository containing the code for the keystroke dynamics algorithm:
git clone...
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