AI and ML-Driven Cybersecurity: Industrial IoT and WSN with Python Scripting

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 in