FRAUDULENT TRANSACTIONS DETECTION SYSTEM DESIGN IN FRAUDULENT TRANSACTIONS DETECTION SYSTEM DESIGN IN

The article is devoted to the design of effective system for combat fraud using client's publicly available data of the package delivery service. Because of the growth of frauds, business incurs heavy losses and complete system for fraud monitoring can stop suspicious actions and make recommendations for their further processing, which will significantly reduce economic, financial and reputational risks. The system is a single resource, which is implemented as a cloud web server and include the intellectual core for execution base laborintensive operations on transaction analysis and detection. The analysis is based on wellproven machine learning algorithms based on supervised learning. For detection of fraudulent transactions model is built and tested, the best one is chosen. It classifies each transaction during data manipulations and make 2 actions depending on the security level: rejects or interprets it and may give recommendations for further action. After security levels are reviewed or added, the system retrained every time; training data is stored in the centralized repository. The developed service is supposed to be used for companies engaged in international logistics and had a simple and clear interface integration and interaction.

1. Romanov D.V. The concept of anti-fraud management in international logistics // Antropotsentricheskie nauki: innovatsionny vzglyad na obrazovanie i razvitie lichnosti. Materialy VII Mezhdunarodnoy nauchnoprakticheskoy konferentsii, 2018 – 323-324 p.

2. Ryndin A.A., Sapegin S.V. Avtomatizatsiya proektirovaniya korporativnyh informatsionnyh sistem na osnove metodov mnogovariantnoy integratsii // VSTU, 2013 – 237 p.

3. Halin V.G., Chernova G.V. Sistemy podderzhki prinyatiya resheniy // Urait, 2015 – 494 p.

4. Yasenev V.N. Infomatsionnaya bezopasnost v ekonomicheskih sistemah: Uchebnoe posobie // UNN, 2006 – 253 p.

5. Petuhov D. Antifraud, https://habrahabr.ru/post/253725

6. De Ruiter A. Best practices on designing business intelligence solutions using SSAS, SSIS and other Microsoft BI tools, https://blogs.msdn.microsoft.com/andreasderuiter/