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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

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Product type Paperback
Published in Aug 2019
Publisher Packt
ISBN-13 9781789804027
Length 342 pages
Edition 1st Edition
Languages
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Author (1):
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Alessandro Parisi Alessandro Parisi
Author Profile Icon Alessandro Parisi
Alessandro Parisi
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Table of Contents (16) Chapters Close

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

Summary

In this chapter, we looked at the attack and defense techniques that exploit the adversarial examples created with GANs.

We looked at the concrete threats that can arise from the use of GANs against DNNs that are increasingly at the heart of cybersecurity procedures, such as malware-detection tools, and biometric authentication. In addition to the risks associated with the widespread use of NNs in the management of sensitive data, such as health data, these threats lead to new forms of GAN-based attacks that can compromise even the health and physical safety of citizens.

In the next chapter, we will learn how to evaluate algorithms with the help of several examples.

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