AI and ML-Driven Cybersecurity: Industrial Iot and Wsn with Python Scripting

AI and ML-Driven Cybersecurity: Industrial Iot and Wsn with Python Scripting - Paperback

$103.66
Sale price  $103.66 Regular price 
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AI and ML-Driven Cybersecurity: Industrial Iot and Wsn with Python Scripting

AI and ML-Driven Cybersecurity: Industrial Iot and Wsn with Python Scripting - Paperback

$103.66
Sale price  $103.66 Regular price 

by Atdhe Buja (Author)

This book provides a hands-on, research-driven guide to building, deploying, and understanding machine learning models tailored for securing IIoT and WSN environments.

Author Biography

Atdhe Buja, Commonwealth University of Pennsylvania, Bloomsburg. Atdhe Buja is an assistant Professor in the Department of Computer Science, Math, and Digital Forensics at the Commonwealth University of Pennsylvania, Bloomsburg. He is a world-renowned cybersecurity expert with decades of experience and a leader in information technology and Industrial IoT cybersecurity. His work has been presented at several conferences, including FIRST cybersecurity, Hackathons, Astana IT University, Balkan Cybersecurity DCAF, Japan, cybersecurity Workshops, Safer Internet Day, etc. Participated many times in DEFCON, is a well-known expert on CERT teams where he developed and built CERT in academia and private (ICT Academy CERT), and has held a variety of roles in the cybersecurity industry. He has developed several video courses for the industry and the ICT Academy on VAPT, Incident Handling, SOC, Pentest, Machine Learning Introduction, IoT Security, Attack Scenarios and Incident Response, and cyber systems and Network Forensics. Leading many research projects for ICT Academy with Astana International Scientific Complex and Global Cyber Alliance, developing innovative solutions leveraging Machine Learning, Artificial Intelligence, and Cybersecurity to meet the needs of Wireless Sensor Networks, the Internet of Things, and Industrial IoT.

Number of Pages: 124
Dimensions: 0.3 x 9.21 x 6.14 IN
Illustrated: Yes
Publication Date: November 17, 2025

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