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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

Phishing URL detection

A phishing website is a website that tries to obtain your account password or other personal information by making you think that you are on a legitimate website. Some phishing URLs differ from the intended URL in a single character specially chosen to increase the odds of a typo, while others utilize other channels to generate traffic.

Here is an example of a phishing website attempting to obtain a user's email address by pressuring a user into believing that their email will be shut down:

Since phishing is one of the most successful modes of attack, it is crucial to be able to identify when a URL is not legitimate. In this recipe, we will build a machine learning model to detect phishing URLs.

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