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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

Concepts

Machine Learning

Author (1):

Emmanuel Tsukerman

Table of Contents (11) Chapters

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

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Appendix

Web server vulnerability scanner using machine learning (GyoiThon)

GyoiThon is an intelligence-gathering tool for web servers. It executes remote access to a target web server and identifies products operated on the server, such as the Content Management System (CMS), web server software, framework, and programming language. In addition, it can execute exploit modules for the identified products using Metasploit.

Some of the main features of GyoiThon are as follows:

Remote access/Fully automatic: GyoiThon can automatically gather information on a target web server using only remote access. You only execute GyoiThon once for your operation.
Non-destructive test: GyoiThon can gather information on the target web server using only normal access. A feature permits GyoiThon to access abnormally, such as by sending exploit modules.

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Authors (1)

Emmanuel Tsukerman

Emmanuel Tsukerman graduated from Stanford University and obtained his Ph.D. from UC Berkeley. In 2017, Dr. Tsukerman's anti-ransomware product was listed in the Top 10 ransomware products of 2018 by PC Magazine. In 2018, he designed an ML-based, instant-verdict malware detection system for Palo Alto Networks' WildFire service of over 30,000 customers. In 2019, Dr. Tsukerman launched the first cybersecurity data science course.

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