AI and ML-Driven Cybersecurity
Industrial IoT and WSN with Python Scripting
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21 493 Ft
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Product details:
- Edition number 1
- Publisher CRC Press
- Date of Publication 17 November 2025
- ISBN 9781041051411
- Binding Paperback
- No. of pages140 pages
- Size 234x156 mm
- Language English
- Illustrations 38 Illustrations, black & white; 1 Halftones, black & white; 37 Line drawings, black & white; 7 Tables, black & white 700
Categories
Short description:
This book provides a hands-on, research-driven guide to building, deploying, and understanding machine learning models tailored for securing IIoT and WSN environments.
MoreLong description:
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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Table of Contents:
List of Figures List of Tables Chapter 1 Cybersecurity for IIoT and WSN. Chapter 2 Data Sources for Predictive Cybersecurity. Chapter 3 Data Analytics. Chapter 4 Exploratory Data Analysis (EDA) for Cybersecurity Insights. Chapter 5 The Cybersecurity Model Design. Chapter 6 The AI, ML Model Development for IIoT and WSN Security. Chapter 7 The Cybersecurity Model Deployment. Chapter 8 Artificial Intelligence in IIoT and WSN Security. Chapter 9 Research Insights. Chapter 10 The Way Ahead.Bibliography
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