Transforming Cybersecurity with Machine Learning

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 significant 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.

Kutub Thakur is a distinguished cybersecurity expert, educator, and researcher with extensive experience across both public and private sectors, including the United Nations, major financial institutions, utility companies, and academic institutions. He earned his Ph.D. in Computer Science with a specialization in cybersecurity from Pace University in New York, an M.S. in Electrical and Computer Control Systems Engineering from the University of Wisconsin, and a B.S. in Computer Systems Technology from the City University of New York. Currently, he is with the St. John’s University Cybersecurity Center, USA.

Al-Sakib Khan Pathan is a Professor at CSE department, United International University (UIU), Bangladesh. He received PhD in Computer Engineering in 2009 from Kyung Hee University, South Korea and B.Sc. in Computer Science and Information Technology from Islamic University of Technology (IUT), Bangladesh in 2003. He has served as a Chair and a member in 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, T&F. So far, he has edited or authored 36 books. He is a Senior Member of the IEEE.