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Full 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 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 could be a valuable resource for academic researchers, industry practitioners, and students alike. It is particularly suitable for those with an interest in understanding the transformative role machine learning plays in modern cybersecurity.
Contents
Chapter 01 - An Overview of Machine Learning Role in Cybersecurity Transformation Chapter 02 - Machine Learning (ML) Chapter 03 - Understanding Data, Dataset and Training for ML Chapter 04 - Building Training & Testing Datasets Chapter 05 - Data Analytics Chapter 06 - Deep Learning & Neural Networks Chapter 07 - Modern Cybersecurity Tools Chapter 08 - Machine Learning in Cybersecurity Chapter 09 - ML-Powered Top Platforms References Index