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Artificial Intelligence for Cybersecurity

You're reading from   Artificial Intelligence for Cybersecurity Develop AI approaches to solve cybersecurity problems in your organization

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Product type Paperback
Published in Oct 2024
Publisher Packt
ISBN-13 9781805124962
Length 358 pages
Edition 1st Edition
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Authors (4):
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Bojan Kolosnjaji Bojan Kolosnjaji
Author Profile Icon Bojan Kolosnjaji
Bojan Kolosnjaji
Apostolis Zarras Apostolis Zarras
Author Profile Icon Apostolis Zarras
Apostolis Zarras
Huang Xiao Huang Xiao
Author Profile Icon Huang Xiao
Huang Xiao
Peng Xu Peng Xu
Author Profile Icon Peng Xu
Peng Xu
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Toc

Table of Contents (27) Chapters Close

Preface 1. Part 1: Data-Driven Cybersecurity and AI FREE CHAPTER
2. Chapter 1: Big Data in Cybersecurity 3. Chapter 2: Automation in Cybersecurity 4. Chapter 3: Cybersecurity Data Analytics 5. Part 2: AI and Where It Fits In
6. Chapter 4: AI, Machine Learning, and Statistics - A Taxonomy 7. Chapter 5: AI Problems and Methods 8. Chapter 6: Workflow, Tools, and Libraries in AI Projects 9. Part 3: Applications of AI in Cybersecurity
10. Chapter 7: Malware and Network Intrusion Detection and Analysis 11. Chapter 8: User and Entity Behavior Analysis 12. Chapter 9: Fraud, Spam, and Phishing Detection 13. Chapter 10: User Authentication and Access Control 14. Chapter 11: Threat Intelligence 15. Chapter 12: Anomaly Detection in Industrial Control Systems 16. Chapter 13: Large Language Models and Cybersecurity 17. Part 4: Common Problems When Applying AI in Cybersecurity
18. Chapter 14: Data Quality and its Usage in the AI and LLM Era 19. Chapter 15: Correlation, Causation, Bias, and Variance 20. Chapter 16: Evaluation, Monitoring, and Feedback Loop 21. Chapter 17: Learning in a Changing and Adversarial Environment 22. Chapter 18: Privacy, Accountability, Explainability, and Trust – Responsible AI 23. Part 5: Final Remarks and Takeaways
24. Chapter 19: Summary 25. Index 26. Other Books You May Enjoy

Preface

The cybersecurity threat landscape is evolving to include an increasing volume and variety of attacks. However, at the same time, the big data era and the proliferation of AI enable new methods and tools to tackle the challenge of detecting increasingly sophisticated malicious activity using large-scale data processing and AI for pattern recognition and enhanced data analytics. AI has already revolutionized multiple areas, some of the most well-known being healthcare, finance, and manufacturing. Currently, AI is making its way into cybersecurity as well through exciting and valuable applications.

In this book, we introduce the place of AI as a methodology in cybersecurity and how AI methods can help solve cybersecurity problems. We give a foundational knowledge of AI for those of you who are beginners in this area, starting with a theoretical underpinning. Following the theoretical chapters, we expand by looking at eight different application areas with six chapters dedicated to these applications. This way, we provide you with practical skills that can be used in concrete scenarios in real-world cybersecurity. After going through these chapters, you can immediately provide value to your organizations or advise your colleagues on how to make a difference with AI in cybersecurity.

Apart from describing the AI methods and going through various application scenarios, we include a part of the book with common pitfalls and challenges in applying AI for cybersecurity. This part helps you to be prepared for real-world applications of AI and the problems that are often overlooked by untrained practitioners, leading to inaccurate project planning and wasted time and effort. We help you recognize those problems and challenges and successfully overcome them to optimize the advantages you get with AI applications.

This book is authored by researchers with years of academic and practical experience applying AI in cybersecurity in various organizations. Publishing this book enables us to share our knowledge and experience in this area to train new experts and help improve cybersecurity overall. The combination of theoretical base and practical skills provided through this book is what has proven to be crucial in successful AI projects!

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