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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

Social Mapper

Social Mapper is an OSINT tool that allows you to correlate the multitude of social media profiles of a target using facial recognition. It automatically searches popular social media sites for the target's name and pictures to effortlessly find the user's social media profiles and then outputs the results into a report that you can use to take your investigations further.

The largest benefit of Social Mapper is that by combining name search with image recognition, as opposed to just name search, it can eliminate false positives, saving the social engineer valuable time.

Social Mapper currently supports LinkedIn, Facebook, Twitter, Google Plus, Instagram, VKontakte, Weibo, and Douban.

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