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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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Toc

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

Malware analysis at a glance

One of the most interesting aspects for those approaching malware analysis, is learning to distinguish, for example, legitimate binary files from those that are potentially dangerous for the integrity of the machines and the data they contain. We refer generically to binary files rather than to executable files (that is, files with extensions such as .exe or .dll), since malware can even hide in apparently innocuous files such as image files (files with extensions such as .jpg or .png).

In the same way, even text documents (such as .docx or .pdf) can turn out to be healthy carriers or vehicles of software infections, despite their non-executable file format. Moreover, the first stage of the spread of a malware (in both the cases of a home PC and a company LAN) often happens by compromising the integrity of the files residing within the machines being...

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