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
Section 1: AI Core Concepts and Tools of the Trade
Section 2: Detecting Cybersecurity Threats with AI
Section 3: Protecting Sensitive Information and Assets
Section 4: Evaluating and Testing Your AI Arsenal


In this chapter, we addressed the different strategies of malware threats detection, making use of various AI algorithms.

We saw how malwares can trick the analyst, using advanced techniques such as polymorphism, forcing the adoption of algorithmic-based detection tools.

Therefore, we introduced the clustering and classification algorithms, up to the more advanced ones, which are based on HMMs and neural networks, in the form of CNNs, in order to deal with such advanced threats.

In the next chapter, we will deal with Network Anomalies Detection techniques that leverage Artificial Intelligence.