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Machine Learning for Cybersecurity Cookbook

You're reading from  Machine Learning for Cybersecurity Cookbook

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

Table of Contents (11) Chapters close

Preface 1. Machine Learning for Cybersecurity 2. Machine Learning-Based Malware Detection 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

Technical requirements

In this chapter, we will be using the following:

  • scikit-learn
  • Markovify
  • XGBoost
  • statsmodels

The installation instructions and code can be found at https://github.com/PacktPublishing/Machine-Learning-for-Cybersecurity-Cookbook/tree/master/Chapter01.

You have been reading a chapter from
Machine Learning for Cybersecurity Cookbook
Published in: Nov 2019 Publisher: Packt ISBN-13: 9781789614671
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