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Hands-On Artificial Intelligence for Cybersecurity

You're reading from  Hands-On Artificial Intelligence for Cybersecurity

Product type Book
Published in Aug 2019
Publisher Packt
ISBN-13 9781789804027
Pages 342 pages
Edition 1st Edition
Languages
Concepts
Author (1):
Alessandro Parisi Alessandro Parisi
Profile icon Alessandro Parisi
LinkedIn
Alessandro Parisi has been an IT professional for over 20 years, acquiring significant experience as a Security Data Scientist, and as an Artificial Intelligence Cybersecurity and Blockchain specialist. He has experience of operating within organizational and decisional contexts characterized by high complexity. Over the years, he has helped companies to adopt Artificial Intelligence and Blockchain DLT technologies as strategic tools in protecting sensitive corporate assets. He holds a Master Degree in Economics and Statistics.
See other products by Alessandro Parisi

Table of Contents (16) Chapters

Preface 1. Section 1: AI Core Concepts and Tools of the Trade
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

Introduction to AI for Cybersecurity Professionals

In this chapter, we'll distinguish between the various branches of Artificial Intelligence (AI), focusing on the pros and cons of the different approaches of automated learning in the field of cybersecurity.

We will introduce different strategies for learning and optimizing of the various algorithms, and we'll also look at the main concepts of AI in action using Jupyter Notebooks and the scikit-learn Python library.

This chapter will cover the following topics:

  • Applying AI in cybersecurity
  • The evolution from expert systems to data mining and AI
  • The different forms of automated learning
  • The characteristics of algorithm training and optimization
  • Beginning with AI via Jupyter Notebooks
  • Introducing AI in the context of cybersecurity
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Authors (1)

Profile icon Alessandro Parisi
LinkedIn
Alessandro Parisi has been an IT professional for over 20 years, acquiring significant experience as a Security Data Scientist, and as an Artificial Intelligence Cybersecurity and Blockchain specialist. He has experience of operating within organizational and decisional contexts characterized by high complexity. Over the years, he has helped companies to adopt Artificial Intelligence and Blockchain DLT technologies as strategic tools in protecting sensitive corporate assets. He holds a Master Degree in Economics and Statistics.
See other products by Alessandro Parisi

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