Wang, Cheng. creator author. aut http://id.loc.gov/vocabulary/relators/aut Zhu, Hangyu. author. aut http://id.loc.gov/vocabulary/relators/aut SpringerLink (Online service) text si 2024 1st ed. 2024. monographic eng

electronic

electronic resource

access XI, 290 p. 74 illus., 66 illus. in color. online resource. 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. 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. by Cheng Wang, Hangyu Zhu. Data protection Data protection Law and legislation Data mining Security Services Privacy Data Mining and Knowledge Discovery QA76.9.A25 9789819790142 https://doi.org/10.1007/978-981-97-9014-2 https://doi.org/10.1007/978-981-97-9014-2 241129 20251030114552.0 978-981-97-9014-2