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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 FREE CHAPTER
2. Introduction to AI for Cybersecurity Professionals 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

Python libraries for cybersecurity

Python is not only one of the best languages for data science and AI, but also the language preferred by penetration testers and malware analysts (along with low-level languages, such as C and Assembly).

In Python, there are an infinite number of libraries ready for use, which simplify the daily activities of researchers.

Next, we will analyze some of the most common and the most used of them.

Pefile

The Pefile library is very useful for analyzing Windows executable files, especially during the phases of static malware analysis, looking for possible indications of compromise or the presence of malicious code in executables. In fact, Pefile makes it very easy to analyze the Portable Executable...

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