AI and ML-Driven Cybersecurity
eBook - ePub

AI and ML-Driven Cybersecurity

Industrial IoT and WSN with Python Scripting

  1. English
  2. ePUB (mobile friendly)
  3. Available on iOS & Android
eBook - ePub

AI and ML-Driven Cybersecurity

Industrial IoT and WSN with Python Scripting

About this book

While the Industrial Internet of Things (IIoT) and Wireless Sensor Networks (WSNs) continue to redefine industrial infrastructure, the need for proactive, intelligent, and scalable cybersecurity solutions has never been more pressing. This book provides a hands-on, research-driven guide to building, deploying, and understanding machine learning models tailored for securing IIoT and WSN environments.

Whether you're a student, researcher, or professional, this book takes you through the full data science lifecycle—from data collection and EDA to model development and deployment—with a special focus on real-world attack detection, anomaly analysis, and predictive defense strategies.

You'll learn:

  • How to run a cybersecurity-focused exploratory data analysis (EDA)
  • Step-by-step model design, training, and evaluation for threat detection
  • Building and deploying web-based AI cybersecurity solutions
  • Practical use of Python
  • Visualizing attacks and insights to drive decision-making
  • Future trends including Edge AI, federated learning, and zero-trust security

This book is intended for cybersecurity professionals working in industrial or smart environments, including smart cities, aerospace, manufacturing, etc. It is also a valuable resource for data scientists and ML engineers applying AI to security, industrial engineers, and university students and educators in computer science, data science, and security. Build secure, data-driven defenses for the next generation of connected systems—start here.

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Information

Table of contents

  1. Cover
  2. Half-Title Page
  3. Title Page
  4. Copyright Page
  5. Dedication
  6. Table of Contents
  7. List of Figures
  8. List of Tables
  9. Preface
  10. 1 Cybersecurity for IIoT and WSNs
  11. 2 Data Sources for Predictive Cybersecurity
  12. 3 Data Analytics
  13. 4 Exploratory Data Analysis (EDA) for Cybersecurity Insights
  14. 5 The Cybersecurity Model Design
  15. 6 The AI ML Model Development for IIoT and WSN Security
  16. 7 The Cybersecurity Model Deployment
  17. 8 Artificial Intelligence in IIoT and WSN Security
  18. 9 Research Insights
  19. 10 The Path Ahead
  20. Bibliography

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Yes, you can access AI and ML-Driven Cybersecurity by Atdhe Buja in PDF and/or ePUB format, as well as other popular books in Computer Science & Cyber Security. We have over one million books available in our catalogue for you to explore.