The New Technology of Financial Crime
Routledge (Verlag)
978-1-032-19203-1 (ISBN)
The chapters in this book were originally published in the journal Victims & Offenders.
Donald Rebovich, Ph.D., Distinguished Professor of Criminal Justice at Utica College, is the Executive Director of the Center for Identity Management & Information Protection (CIMIP). Prior to coming to Utica College, Dr Rebovich served as Research Director for the National White-Collar Crime Center (NW3C) & the American Prosecutors Research Institute of the National District Attorneys Association (NDAA). James M. Byrne, Ph.D., is a professor in the School of Criminology and Justice Studies at the University of Massachusetts Lowell. He is the Director of the Global Community Corrections Initiative (www.globcci.org) and Editor-in-Chief of the journal, Victims & Offenders. Dr Byrne is the co-editor, The Global Impact of the COVID-19 Pandemic on Institutional and Community Corrections (Routledge, 2021), and is currently completing a new book, The Technology Revolution in Criminal Justice: A Global Review (Routledge, forthcoming).
Introduction 1. The Dynamics of Business, Cybersecurity and Cyber-Victimization: Foregrounding the Internal Guardian in Prevention 2. Phishing Evolves: Analyzing the Enduring Cybercrime 3. Online Fraud Victimization in China: A Case Study of Baidu Tieba 4. Interrelationship between Bitcoin, Ransomware, and Terrorist Activities: Criminal Opportunity Assessment via Cyber-Routine Activities Theoretical Framework 5. The Use of Military Profiles in Romance Fraud Schemes 6. The Distillation of National Crime Data into A Plan for Elderly Fraud Prevention: A Quantitative and Qualitative Analysis of U.S. Postal Inspection Service Cases of Fraud against the Elderly 7. Organized Crime as Financial Crime: The Nature of Organized Crime as Reflected in Prosecutions and Research 8. Preventing Identity Theft: Perspectives on Technological Solutions from Industry Insiders 9. Forecasting Identity Theft Victims: Analyzing Characteristics and Preventive Actions through Machine Learning Approaches 10. The Identification of a Model Victim for Social Engineering: A Qualitative Analysis
Erscheinungsdatum | 18.04.2024 |
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Verlagsort | London |
Sprache | englisch |
Maße | 174 x 246 mm |
Gewicht | 435 g |
Themenwelt | Recht / Steuern ► Strafrecht ► Kriminologie |
ISBN-10 | 1-032-19203-8 / 1032192038 |
ISBN-13 | 978-1-032-19203-1 / 9781032192031 |
Zustand | Neuware |
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