Table of Contents:
  • Preface
  • Chapter 1. Introduction to Digital Fraud and Identity Theft
  • Chapter 2. Decision Support Systems for Real-Time Fraud Response
  • Chapter 3. Role of Machine Learning in Identity Verification
  • Chapter 4. Leveraging Cybersecurity in the Context of Digital Arrest, Fraud, and Identity Theft: An Ethico-Legal Perspective
  • Chapter 5. Natural Language Processing for Fraudulent Communication Detection
  • Chapter 6. Ethical Implications of AI in Identity Management
  • Chapter 7. Policy Implications of AI in Combatting Cyber Fraud and Identity Theft
  • Chapter 8. Hermeneutics and Anti-Money Laundering (AML) Policies in the Digital Age: A Comparative Study of Indonesia and Latvia
  • Compilation of References
  • About the Contributors
  • Index.