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Hands-On Artificial Intelligence for Cybersecurity

You're reading from   Hands-On Artificial Intelligence for Cybersecurity Implement smart AI systems for preventing cyber attacks and detecting threats and network anomalies

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Product type Paperback
Published in Aug 2019
Publisher Packt
ISBN-13 9781789804027
Length 342 pages
Edition 1st Edition
Languages
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Author (1):
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Alessandro Parisi Alessandro Parisi
Author Profile Icon Alessandro Parisi
Alessandro Parisi
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Table of Contents (16) Chapters Close

Preface 1. Section 1: AI Core Concepts and Tools of the Trade FREE CHAPTER
2. Introduction to AI for Cybersecurity Professionals 3. Setting Up Your AI for Cybersecurity Arsenal 4. Section 2: Detecting Cybersecurity Threats with AI
5. Ham or Spam? Detecting Email Cybersecurity Threats with AI 6. Malware Threat Detection 7. Network Anomaly Detection with AI 8. Section 3: Protecting Sensitive Information and Assets
9. Securing User Authentication 10. Fraud Prevention with Cloud AI Solutions 11. GANs - Attacks and Defenses 12. Section 4: Evaluating and Testing Your AI Arsenal
13. Evaluating Algorithms 14. Assessing your AI Arsenal 15. Other Books You May Enjoy

Installing DL libraries

In this section, we will consider the advantages of installing some of the main Python libraries for AI, in particular, to exploit the potential of deep learning.

The libraries that we will cover are as follows:

  • TensorFlow
  • Keras
  • PyTorch

Prior to discovering the advantages of the individual libraries and proceeding with their installation, let's spend a few words on the advantages and characteristics of deep learning for cybersecurity.

Deep learning pros and cons for cybersecurity

One of the distinctive features of deep learning, compared to other branches of AI, is the ability to exploit general-purpose algorithms, by leveraging neural networks. In this way, it is possible to face similar problems...

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