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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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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

Setting up a virtual lab environment

To protect yourself and your network, it is imperative to take preventative steps when handling and analyzing malware. One of the best ways to do so is to set up an isolated virtual lab environment. A virtual lab environment consists of one or more Virtual Machines (VMs) in an isolated network. Isolating the network prevents malware from spreading through the network, at the cost of less realistic malware behavior.

Getting ready

In preparation for this recipe, do the following:

  1. Install a hypervisor.

A hypervisor is software that allows you to control VMs. One instance is VirtualBox, available for download for free at https://www.virtualbox.org/:

  1. Download a virtual image.

A virtual...

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