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Mastering Machine Learning for Penetration Testing

You're reading from   Mastering Machine Learning for Penetration Testing Develop an extensive skill set to break self-learning systems using Python

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Product type Paperback
Published in Jun 2018
Publisher Packt
ISBN-13 9781788997409
Length 276 pages
Edition 1st Edition
Languages
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Author (1):
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Chiheb Chebbi Chiheb Chebbi
Author Profile Icon Chiheb Chebbi
Chiheb Chebbi
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Table of Contents (13) Chapters Close

Preface 1. Introduction to Machine Learning in Pentesting 2. Phishing Domain Detection FREE CHAPTER 3. Malware Detection with API Calls and PE Headers 4. Malware Detection with Deep Learning 5. Botnet Detection with Machine Learning 6. Machine Learning in Anomaly Detection Systems 7. Detecting Advanced Persistent Threats 8. Evading Intrusion Detection Systems 9. Bypassing Machine Learning Malware Detectors 10. Best Practices for Machine Learning and Feature Engineering 11. Assessments 12. Other Books You May Enjoy

Artificial neural network overview

Our brains perform many complex functions in the blink of an eye. Thus, in order to build algorithms that perform and learn using the same techniques as the human mind, it is essential for us to learn how the brain works. By acquiring a fair understanding about how the human mind functions, we will have better understanding of deep learning. The three major distinctive mind functions are:

  • Thinking (analyzing, comparing, and judging)
  • Feeling (happiness, sadness, and excitement)
  • Wanting (motives, desires, and goals)

These three functions are continuously interacting in a dynamic process.

The brain is mainly composed of three components: the cerebrum, which is the largest part of the brain and controls higher functions, such as vision, hearing, and tasting; the cerebellum, which is the entity responsible for coordinating muscle movements and the...

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