"This comprehensive and timely book provides an overview of the field of Machine and Deep Learning in the areas of cybersecurity and privacy, followed by an in-depth view of emerging research exploring the theoretical aspects of machine and deep learning, as well as real-world implementations"--.

• Cover
• Title Page
• Copyright Page
• Book Series
• Table of Contents
• Detailed Table of Contents
• Preface
• Chapter 1: User Profiling Using Keystroke Dynamics and Rotation Forest
• Chapter 2: Predictive Modelling for Financial Fraud Detection Using Data Analytics
• Chapter 3: Comprehensive Overview of Autonomous Vehicles and Their Security Against DDoS Attacks
• Chapter 4: Application of Machine Learning to User Behavior-Based Authentication in Smartphone and Web
• Chapter 5: The Role of Deception in Securing Our Cyberspace
• Chapter 6: Holistic View on Detecting DDoS Attacks Using Machine Learning
• Chapter 7: Masked Transient Effect Ring Oscillator Physical Unclonable Function Against Machine Learning Attacks
• Chapter 8: Detecting Bank Financial Fraud in South Africa Using a Logistic Model Tree
• Chapter 9: Innovative Legitimate Non-Traditional Doctorate Programs in Cybersecurity, Engineering, and Technology
• Chapter 10: Privacy Preservation of Image Data With Machine Learning
• Compilation of References
• Related References
• About the Contributors
• Index