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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

Artificial Intelligence

Author (1):

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

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Evolution in AI: from expert systems to data mining

To understand the advantages associated with the adoption of AI in the field of cybersecurity, it is necessary to introduce the underlying logic to the different methodological approaches that characterize AI.

We will start with a brief historical analysis of the evolution of AI in order to fully evaluate the potential benefits of applying it in the field of cybersecurity.

A brief introduction to expert systems

One of the first attempts at automated learning consisted of defining the rule-based decision system applied to a given application domain, covering all the possible ramifications and concrete cases that could be found in the real world. In this way, all the possible...

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Authors (1)

Alessandro Parisi

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.

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