CHARACTERIZATION OF AMBIGUOUS DATA FOR DETECTION OF SUSPICIOUS TRANSACTIONS IN DISTRIBUTED SYSTEMS
Keywords:
Distributed systems, suspicious transactions, ambiguous data, payment information, security.Abstract
In this article, the characteristics of ambiguous data for identifying suspicious transactions in distributed systems are presented. It analyzed characteristics such as unusually large transactions, multiple small transactions, geographic anomalies, odd timing, and transactions with unusual symbols.
References
1. Dam K.W., Lin H. S. Cryptography’s Role in Securing the Information Society // National Academy Press. Washington, -pp.156-165. D.C. 1996.
2. Distributed ledger technology in payments, clearing, and settlement. Finance and Economics Discussion Series 2016-095. Washington: Board of Governors of the Federal Reserve System, -pp.34. https://doi.org/10.17016/FEDS.2016.095. 2016.
3. Dileep M. R., Navaneeth A. V. and Abhishek M., “A novel approach for credit card fraud detection using decision tree and random forest algorithms”, 2021 Third International Conference on Intelligent Communication Technologies and Virtual Mobile Networks (ICICV), pp. 1025-1028, February 2021.
Downloads
Published
Issue
Section
License
Copyright (c) 2024 Nazarov F.M., Sabharwal M.
This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.
All Rights Reserved.
