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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

Product type Paperback

Published in Nov 2019

Publisher Packt

ISBN-13 9781789614671

Length 346 pages

Edition 1st Edition

Languages

Python

Tools

Metasploit

Concepts

Cybersecurity

Author (1):

Emmanuel Tsukerman

View More author details

Table of Contents (11) Chapters

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

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Appendix

Other Books You May Enjoy

If you enjoyed this book, you may be interested in these other books by Packt:

Hands-On Machine Learning for Cybersecurity
Sinan Ozdemir, Soma Halder

ISBN: 9781788992282

Use machine learning algorithms with complex datasets to implement cybersecurity concepts
Implement machine learning algorithms such as clustering, k-means, and Naive Bayes to solve real-world problems
Learn to speed up a system using Python libraries with NumPy, Scikit-learn, and CUDA
Understand how to combat malware, detect spam, and fight financial fraud to mitigate cyber crimes
Use TensorFlow in the cybersecurity domain and implement real-world examples
Learn how machine learning and Python can be used in complex cyber issues

Hands-On Artificial Intelligence for Cybersecurity
Alessandro Parisi

ISBN: 9781789804027

Detect email threats such as spamming and phishing using AI
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Authors (1)

Emmanuel Tsukerman

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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