Chapter 1. Overview of Universal Behavior Computing -- Chapter 2. Enhancing Data for Hard Anomaly Detection -- Chapter 3. Addressing Imbalance Data for Online Fraud Detection -- Chapter 4. Vectoring Applicant Information for Ex-ante Fraud Prediction -- Chapter 5. Detecting Behavioral Anomalies for Cyber Security -- Chapter 6. Layered Behavior Modeling for Recommendations -- Chapter 7. Collaborative Behavioral Protection in Anti-Fraud Systems -- Chapter 8. Behavioral Authentication for Security and Safety -- Chapter 9. Sophisticated Behavioral Simulation.

This book presents advanced solutions for integrated security and safety based on universal behavior computing. It provides a comprehensive survey of recent representative research in the field of universal behavior computing, including a review of traditional behavior analysis methods, an introduction to emerging key technologies and frameworks for building behavior models, and a discussion on further opportunities for utilizing behavior simulation in future research. This book aims to provide a comprehensive and promising perspective for behavior computing-based security and safety solutions. By examining common weaknesses in typical real-world cases, it offers representative examples for a wide range of practical applications. It can provide valuable insights for both researchers and professionals in the field.