
- English
- ePUB (mobile friendly)
- Available on iOS & Android
Transforming Cybersecurity with Machine Learning
About this book
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.
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Information
Table of contents
- Cover Page
- Half Title page
- Title Page
- Copyright Page
- Dedication
- Contents
- Preface
- Chapter 1 An overview of the machine learning role in cybersecurity transformation
- Chapter 2 Machine learning (ML)
- Chapter 3 Understanding data, datasets, and training for ML
- Chapter 4 Building training and testing datasets
- Chapter 5 Data analytics
- Chapter 6 Deep learning and neural networks
- Chapter 7 Modern cybersecurity tools
- Chapter 8 Machine learning in cybersecurity
- Chapter 9 ML-powered top platforms
- References
- Index
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