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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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Importing sample data and running Jupyter Notebook in the cloud

Now, let's learn how to use the IBM Watson platform. The first thing we need to do is create an account, if we don't have one already; just connect to the IBM Cloud platform home link provided here athttps://dataplatform.cloud.ibm.com/. You will see the following screen:

IBM Watson home page

To proceed with the registration, select Try it for Free (register) as shown in the preceding screenshot. We will be automatically redirected to the registration form, as shown in the following screenshot:

IBM Watson Registration page

Once registration is complete, we can log in again from the home page:

IBM Watson login form

After logging in, we can create a new project:

IBM Watson start by creating a project screen

We can select the type of project we want to create:

IBM Watson project selection

In our case, we...

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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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