Book Image

Hands-On Artificial Intelligence for Cybersecurity

By : Alessandro Parisi
Book Image

Hands-On Artificial Intelligence for Cybersecurity

By: Alessandro Parisi

Overview of this book

Today's organizations spend billions of dollars globally on cybersecurity. Artificial intelligence has emerged as a great solution for building smarter and safer security systems that allow you to predict and detect suspicious network activity, such as phishing or unauthorized intrusions. This cybersecurity book presents and demonstrates popular and successful AI approaches and models that you can adapt to detect potential attacks and protect your corporate systems. You'll learn about the role of machine learning and neural networks, as well as deep learning in cybersecurity, and you'll also learn how you can infuse AI capabilities into building smart defensive mechanisms. As you advance, you'll be able to apply these strategies across a variety of applications, including spam filters, network intrusion detection, botnet detection, and secure authentication. By the end of this book, you'll be ready to develop intelligent systems that can detect unusual and suspicious patterns and attacks, thereby developing strong network security defenses using AI.
Table of Contents (16 chapters)
Free Chapter
1
Section 1: AI Core Concepts and Tools of the Trade
4
Section 2: Detecting Cybersecurity Threats with AI
8
Section 3: Protecting Sensitive Information and Assets
12
Section 4: Evaluating and Testing Your AI Arsenal

User authentication with keystroke recognition

Given the limitations and the methodological problems we mentioned earlier, in recent times we have increasingly resorted to new forms of detecting of suspicious user accounts using some forms of biometric recognition. These have been made more usable than in the past due to the increasing diffusion of neural networks.

The same user authentication procedures are often implemented through biometric recognition, which supplements (if not replaces) the most traditional forms of password-based authentication.

When we talk about biometric recognition, we can consider distinctive physical elements that can be reliably and exclusively traced back to a specific human user, such as the iris, face, fingerprints, voice, and more. Behaviors and habits can also be identified in patterns that may be reliably associated with the individual user...