Cheng Wang received the Ph.D. degree from the Department of Computer Science, Tongji University, in 2011. He is currently a professor with the Department of Computer Science and Technology, Tongji University. He has conducted extensive research in behavior computing. His achievements have been recognized with the National Science and Technology Progress Award and the Outstanding Ph.D. Dissertation Award from the China Computer Federation (CCF). His research interests include cyberspace security and intelligent information services.Hangyu Zhu is a Ph.D. candidate in the Department of Computer Science and Technology at Tongji University. His research interests include behavioral anomaly detection and network representation learning.

• 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.

Cheng Wang received the Ph.D. degree from the Department of Computer Science, Tongji University, in 2011. He is currently a professor with the Department of Computer Science and Technology, Tongji University. He has conducted extensive research in behavior computing. His achievements have been recognized with the National Science and Technology Progress Award and the Outstanding Ph.D. Dissertation Award from the China Computer Federation (CCF). His research interests include cyberspace security and intelligent information services.Hangyu Zhu is a Ph.D. candidate in the Department of Computer Science and Technology at Tongji University. His research interests include behavioral anomaly detection and network representation learning.

• 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.

Cheng Wang received the Ph.D. degree from the Department of Computer Science, Tongji University, in 2011. He is currently a professor with the Department of Computer Science and Technology, Tongji University. He has conducted extensive research in behavior computing. His achievements have been recognized with the National Science and Technology Progress Award and the Outstanding Ph.D. Dissertation Award from the China Computer Federation (CCF). His research interests include cyberspace security and intelligent information services.Hangyu Zhu is a Ph.D. candidate in the Department of Computer Science and Technology at Tongji University. His research interests include behavioral anomaly detection and network representation learning.

• 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.