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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

Product type Paperback

Published in Aug 2019

Publisher Packt

ISBN-13 9781789804027

Length 342 pages

Edition 1st Edition

Languages

Python

Concepts

Artificial Intelligence

Author (1):

Alessandro Parisi

View More author details

Table of Contents (16) Chapters

Preface

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

2. Introduction to AI for Cybersecurity Professionals FREE CHAPTER

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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Securing User Authentication

In the field of cybersecurity, Artificial Intelligence (AI) is assuming an increasingly important role in the protection of users' sensitive information, including the credentials they use to access their network accounts and applications in order to prevent abuse, such as identity theft.

This chapter will cover the following topics:

Authentication abuse prevention
Account reputation scoring
User authentication with keystroke recognition
Biometric authentication with facial recognition

The rest of the chapter is locked

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Authors (1)

Parisi

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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