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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

Facial recognition

A facial recognition system is a technology for identifying or verifying a person in images or videos. When performing OSINT on a target or potential targets, a facial recognition system can be invaluable. In this recipe, you will learn how to use the well-developed face_recognition Python library.

Getting ready

Preparation for this recipe consists of installing the face_recognition and OpenCV packages in pip. The instructions are as follows:

pip install face_recognition opencv-python

In addition, you will want a portrait of an individual and a collection of images through which you would like to search for that individual.

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