AI and ML-Driven Cybersecurity

Industrial IoT and WSN with Python Scripting

By: Atdhe Buja

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Hardcover | 17 November 2025 | Edition Number 1

At a Glance

Hardcover
140 Pages

Dimensions(cm)
23.4 x 15.6 x 0.97

Hardcover

$231.00

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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 youâre a student, researcher, or professional, this book takes you through the full data science lifecycleâ"from data collection and EDA to model development and deploymentâ"with a special focus on real-world attack detection, anomaly analysis, and predictive defense strategies.

Youâll 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 systemsâ"start here.

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