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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

DeepExploit

DeepExploit is a penetration testing tool that elevates Metasploit to a whole new level by leveraging AI. Its key features are as follows: 

  • Deep penetration: If DeepExploit successfully exploits the target, it will automatically execute the exploit to other internal servers as well. 
  • Learning: DeepExploit is a reinforcement learning system, akin to AlphaGo.

Using DeepExploit to pentest your security systems will take you a long way toward keeping your systems secure. In this recipe, we will set up and run DeepExploit.

Getting ready

You will now be guided through the steps required to install DeepExploit:

  1. Download and set up Kali Linux. You can find VM images online at https://www...
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