Contents: Identity Theft in the Banking System, Application of Artificial Intelligence for Fraudulent Banking Operations Recognition, Online Payment Fraud: From Anomaly Detection to Risk Management, The Imbalanced Classification of Fraudulent Bank Transactions Using Machine Learning, The Integration of Forensic Accounting and Big Data Technology Frameworks for Internal Fraud Mitigation in the Banking Industry, A Novel Method For Detecting Credit Card Fraud Problems, Enhancing Fraud Detection in Auto Insurance and Credit Card Transactions: A Novel Approach Integrating CNNs and Machine Learning Algorithms, CTCN: A Novel Credit Card Fraud Detection Method Based on Conditional Tabular Generative Adversarial Networks and Temporal Convolutional Network, Investigating the Role of Perceived Risk, Perceived Security and Perceived Trust on Smart m-Banking Application Using SEM, Analysis of Countercyclical Policy Factors in the Era of the COVID-19 Pandemic in Financial Statement Fraud Detection of Banking Companies in Indonesia.