AI for Cybersecurity

AI for Cybersecurity equips professionals with the knowledge to leverage artificial intelligence for robust cyber defense strategies. This comprehensive guide is designed for those who aim to deepen their understanding of AI's role in cybersecurity. The book provides practical insights into mobile app security threats, zero-day attack detection, and more.

What You'll Learn

• Effectively detect zero-day attacks using machine learning
• Implement privacy-preserving technologies
• Enhance security in federated learning environments
• Utilize large language models for intrusion detection
• Develop a methodological approach to secure by design

Who This Book Is For

This book is ideal for cybersecurity professionals, AI researchers, and advanced students keen on integrating AI into their security practices. It assumes familiarity with basic cybersecurity concepts.

What You Need to Know First

Readers should have a foundational understanding of cybersecurity principles and some experience with AI or machine learning algorithms to fully benefit from this book.

Why This Book

Unlike other texts, this book integrates AI techniques directly into cybersecurity applications, offering a practical, hands-on approach grounded in real-world challenges and solutions.

What's Inside

Authored by Dr. Houbing Herbert Song, Dr. Elisa Bertino, and others, this 659-page volume from John Wiley & Sons, Inc. includes detailed analyses, case studies, and practical applications for enhanced cybersecurity.