Searching for Suspected Financial Crimes Based on Transaction History Using Algorithms on Graphs

To date, the number of new markets, stores and companies in any field of activity has been growing steadily, as well as with their incredible development and financial sector. However, the very existence of such organizations is an excellent goal for the commission of criminal operations. Financial crime is a critical problem and it certainly has a devastating effect on the economy, security and the social sphere. In most cases, crimes are committed by individuals who have received or are receiving fairly good funding, with the aim of causing irreparable harm to the company, as well as for profit. In my work I describe: the development of an algorithm on the graphs to identify fraudsters, identify the effectiveness of such an algorithm, and also develop a software interface (hereinafter - software) using this algorithm for implementation in the banking system.