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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

Encrypted computation

In this recipe, we're going to walk through the basics of encrypted computation. In particular, we're going to focus on one popular approach, called Secure Multi-Party Computation. You'll learn how to build a simple encrypted calculator that can perform addition on encrypted numbers. The ideas in this recipe will come in handy in the Private deep learning prediction recipe.

Getting ready

The following recipe has no installation requirements other than Python.

How to do it…

  1. Import the random library and select a large prime...
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