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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

Appendix

In this chapter, we offer the reader a guide to creating infrastructure to handle the challenges of machine learning on cybersecurity data. In particular, we provide a recipe for setting up a virtual lab environment to allow for safe and effective malware analysis. We also provide a guide to using virtual Python environments, which allow users to seamlessly work on different Python projects while avoiding package conflicts. 

The following recipes will be covered in this chapter:

  • Setting up a virtual lab environment
  • Using Python virtual environments
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