DESIGNING OF THE MODEL OF BEHAVIOR AN ATTACKER APPLICABLE TO AUTOMATED BANKING SYSTEMS OF REMOTE SERVICING, PERFORMING ACTIONS FOR THE LEGALIZATION PROCEEDS FROM CRIME
The paper describes of compiling the model of offender for the process of legalizes (launders) proceeds from crime. The paper are considered the main provisions of 115 federal law «On countering the legalization of illicit gains (money laundering) and terrorism financing» in order to identify necessary legal norms, as well as patterns of fraudulent user behavior. The revealed features of payment behavior are necessary for developing deviation patterns for automating fraud detection processes in remote banking systems and their integration with artificial intelligence.