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Machine Learning for Cybersecurity Cookbook

You're reading from  Machine Learning for Cybersecurity Cookbook

Product type Book
Published in Nov 2019
Publisher Packt
ISBN-13 9781789614671
Pages 346 pages
Edition 1st Edition
Languages
Author (1):
Emmanuel Tsukerman Emmanuel Tsukerman
Profile icon Emmanuel Tsukerman
Toc

Table of Contents (11) Chapters close

Preface 1. Machine Learning for Cybersecurity 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

CAPTCHA breaker

A CAPTCHA is a system intended to prevent automated access or scraping. It does so by asking questions that are meant to recognize when the user is a human and when the user is a program. You have probably seen countless variations of the following screenshot:

Sometimes, the request is to insert a code, sometimes it is to select some objects, for example, storefronts or traffic lights in a series of images, and sometimes the CAPTCHA is a math question. In this chapter, we are going to break a simple CAPTCHA system, called Really Simple CAPTCHA:

Despite its simplicity, Really Simple CAPTCHA is still widely used. Most importantly, it will illustrate how to approach breaking other, more complicated, CAPTCHA systems.
The first step will be to process the CAPTCHA dataset so that it is convenient for machine learning. The most naive approach to the problem is likely...

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