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

Account reputation scoring

The monitoring of user account activity must, therefore, take into account both newly created and existing accounts to prevent malicious activities carried out by existing accounts that are being compromised by the attacker. It is advisable to associate a measure of reputation (reputation scoring) estimated on the basis of the behavior held by the associated user. This reputation scoring also allows us to identify attacks conducted in stealth mode, thus preventing the risk of attacks going undetected. It does this by leveraging alarm systems calibrated to monitor anomalous and noisy peaks of activity.

In the estimate of the reputation score associated with each user account, we can take into consideration various features:

  • The number and frequency of user posts published for a period of time
  • Access to the user account via proxy, VPN, or other IP anonymization...