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The Art of Social Engineering

You're reading from   The Art of Social Engineering Uncover the secrets behind the human dynamics in cybersecurity

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Product type Paperback
Published in Oct 2023
Publisher Packt
ISBN-13 9781804613641
Length 234 pages
Edition 1st Edition
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Authors (2):
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Cesar Bravo Cesar Bravo
Author Profile Icon Cesar Bravo
Cesar Bravo
Desilda Toska Desilda Toska
Author Profile Icon Desilda Toska
Desilda Toska
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Toc

Table of Contents (17) Chapters Close

Preface 1. Part 1: Understanding Social Engineering
2. Chapter 1: The Psychology behind Social Engineering FREE CHAPTER 3. Chapter 2: Understanding Social Engineering 4. Chapter 3: Common Scam Attacks 5. Chapter 4: Types of Social Engineering Attacks 6. Part 2: Enhanced Social Engineering Attacks
7. Chapter 5: Enhanced Social Engineering Attacks 8. Chapter 6: Social Engineering and Social Network Attacks 9. Chapter 7: AI-Driven Techniques in Enhanced Social Engineering Attacks 10. Chapter 8: The Social Engineering Toolkit (SET) 11. Part 3: Protecting against Social Engineering Attacks
12. Chapter 9: Understanding the Social Engineering Life Cycle 13. Chapter 10: Defensive Strategies for Social Engineering 14. Chapter 11: Applicable Laws and Regulations for Social Engineering 15. Index 16. Other Books You May Enjoy

Strategies for combating AI-enhanced social engineering attacks

The rise of AI has introduced new complexities and challenges in combating social engineering attacks. With AI-driven techniques becoming increasingly sophisticated, it is crucial to develop effective strategies to mitigate the risks posed by AI-enhanced social engineering attacks.

Understanding the threat landscape

To effectively combat AI-enhanced social engineering attacks, it is crucial to have a deep understanding of the threat landscape. The threat landscape encompasses the evolving tactics, techniques, and motivations of threat actors who exploit AI technologies for social engineering purposes. We are going to explore the various aspects of the threat landscape and provide insights into the factors that contribute to the success and prevalence of AI-driven social engineering attacks:

  • Evolving tactics and techniques:
    • AI-driven deception: Threat actors leverage AI technologies, such as NLP and deepfake...
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