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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

Speech recognition for OSINT

The story goes that a pen tester was performing intelligence gathering on the at-the-time director of the FBI, James Comey. By listening to footage from Comey, the pen tester noted that Comey mentioned having several social media accounts, including a Twitter account. However, at the time, no account of his was known.

Through thorough investigation, the pen tester eventually discovered Comey's secret Twitter account, screen name Reinhold Niebuhr. The goal of this recipe is to help the pen tester to automate and expedite the sifting through large amounts of audio/video footage about a target in the search of keywords. Specifically, we use machine learning to convert speech into text, collect this text, and then search for keywords of interest.

Getting...

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