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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 FREE CHAPTER 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

Wireless indoor localization

Tales of a hacker parked outside a home, and hacking into their network for malice, are legendary. Though these tales may exaggerate the ease and motivation of this scenario, there are many situations where it is best to only permit users inside the home, or, in the case of an enterprise environment, in a designated area, to have specified network privileges. In this recipe, you will utilize machine learning to localize an entity based on the Wi-Fi signal. The dataset we will be working with was collected in an indoor space by observing signal strengths of seven Wi-Fi signals visible on a smartphone. One of the four rooms is the decision factor.

Getting ready

Preparation for this recipe involves...

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