
Transforming Cybersecurity with Machine Learning
CRC Press
1st Edition
Will be published approx. on 26. December 2025
Book
Paperback/Softback
259 pages
978-1-041-17168-3 (ISBN)
Description
This book provides an in-depth exploration of the dynamic intersection between machine learning (ML) and cybersecurity, offering a detailed analysis of how these technologies are reshaping the security landscape. It tracks the signi?cant progress of machine learning in the context of cybersecurity, providing insights into the latest advancements, emerging trends, and the challenges ahead. Crafted with a discerning audience in mind, this book is a valuable resource for academic researchers, industry practitioners, and students alike. It is particularly suitable for those interested in understanding the transformative role ML plays in modern cybersecurity.
More details
Language
English
Place of publication
London
United Kingdom
Publishing group
Taylor & Francis Ltd
Target group
Professional and scholarly
College/higher education
Professional Practice & Development, Professional Reference, and Professional Training
Illustrations
25 s/w Photographien bzw. Rasterbilder, 27 s/w Zeichnungen, 52 s/w Abbildungen
27 Line drawings, black and white; 25 Halftones, black and white; 52 Illustrations, black and white
Dimensions
Height: 234 mm
Width: 156 mm
Thickness: 15 mm
Weight
415 gr
ISBN-13
978-1-041-17168-3 (9781041171683)
Copyright in bibliographic data and cover images is held by Nielsen Book Services Limited or by the publishers or by their respective licensors: all rights reserved.
Schweitzer Classification
Other editions
Additional editions

Kutub Thakur | Al-Sakib Khan Pathan
Transforming Cybersecurity with Machine Learning
E-Book
12/2025
CRC Press
€55.49
Available for download

Kutub Thakur | Al-Sakib Khan Pathan
Transforming Cybersecurity with Machine Learning
E-Book
12/2025
CRC Press
€55.49
Available for download

Kutub Thakur | Al-Sakib Khan Pathan
Transforming Cybersecurity with Machine Learning
Book
approx. 12/2025
1st Edition
CRC Press
€135.70
Not yet published
Persons
Kutub Thakur, PhD, is a distinguished cybersecurity expert, educator, and researcher with extensive experience across both public and private sectors, including the United Nations, major ?nancial institutions, utility companies, and academic institutions. He earned a PhD in computer science with a specialization in cybersecurity at Pace University in New York, an MS in electrical and computer control systems engineering at the University of Wisconsin, and a BS in computer systems technology at the City University of New York.
Al-Sakib Khan Pathan, PhD, is a professor in the Computer Science and Engineering Department at the United International University (UIU), Bangladesh. He earned a PhD in computer engineering in 2009 at Kyung Hee University, South Korea, and a BSc in computer science and information technology at the Islamic University of Technology (IUT), Bangladesh, in 2003. He has served as chair and a member at numerous top-ranked international conferences. He is currently the editor-in-chief of two journals: International Journal of Computers and Applications and Journal of Cyber Security Technology. Dr. Pathan has also edited or authored 36 books. He is a senior member of the IEEE.
Al-Sakib Khan Pathan, PhD, is a professor in the Computer Science and Engineering Department at the United International University (UIU), Bangladesh. He earned a PhD in computer engineering in 2009 at Kyung Hee University, South Korea, and a BSc in computer science and information technology at the Islamic University of Technology (IUT), Bangladesh, in 2003. He has served as chair and a member at numerous top-ranked international conferences. He is currently the editor-in-chief of two journals: International Journal of Computers and Applications and Journal of Cyber Security Technology. Dr. Pathan has also edited or authored 36 books. He is a senior member of the IEEE.
Content
1. An overview of the machine learning role in cybersecurity transformation. 2. Machine learning (ML). 3. Understanding data, datasets, and training for ML. 4. Building training and testing datasets. 5. Data analytics. 6. Deep learning and neural networks. 7. Modern cybersecurity tools. 8. Machine learning in cybersecurity. 9. ML-powered top platforms.