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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

Twitter spear phishing bot

In this recipe, we are going to use machine learning to build a Twitter spear phishing bot. The bot will utilize artificial intelligence to mimic its targets' tweets, hence creating interesting and enticing content for its own tweets. Also, the tweets will contain embedded links, resulting in targets clicking these phishing links. Of course, we will not be utilizing this bot for malicious purpose, and our links will be dummy links. The links themselves will be obfuscated, so a target will not be able to tell what is really hidden behind them until after they click.

Experimentally, it has been shown that this form of attack has a high percentage success rate, and by simulating this form of attack, you can test and improve the security posture of your client or organization.

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