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Hands-On Artificial Intelligence for Cybersecurity

Hands-On Artificial Intelligence for Cybersecurity

By : Parisi
4.4 (5)
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Hands-On Artificial Intelligence for Cybersecurity

Hands-On Artificial Intelligence for Cybersecurity

4.4 (5)
By: 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)
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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

Facial recognition attacks with GAN

As a last example of the use of GANs, we will look at what is perhaps the most symptomatic and well-known case, which involves generating adversarial examples representative of human faces.

Apart from the surprising effect that this technique can have on those who examine the results, which are often very realistic, this technique, when used as an attack tool, constitutes a serious threat to all those cybersecurity procedures based on the verification of biometric evidence (often used to access, for example, online banking services, or, more recently, to log in to social networks, and even access your own smartphone).

Moreover, it can be used to deceive even the AI-empowered facial-recognition tools used by the police to identify suspects, consequently reducing their overall reliability.

As demonstrated in the paper Explaining and Harnessing...

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