Bank Checks Fraud Detection Based on the Analysis of Event Trends in Data-Flow Systems

Uriy Grigorev, Yury Shashkin, Andrey Ploutenko, Aleksey Burdakov, Olga Pluzhnikova

2023

Abstract

The paper shows trend analysis of events in data-flow systems on the example of fraud detection with not-covered checks. The analysis is based on Complex Event Processing (CEP) technology. This article proposes Algorithm 2 based on BTree and Hash type indexes for extracting a complete chain of events of any length formed by insufficient funds check deposits. The paper presents a comparison between the proposed Algorithm 2 and the existing Algorithm 1, based on the construction of event trends in the form of graphs. The average processing time of one event using the new Algorithm 2 is 56 times less with the number of events equal to 100,000. At the same time, the new Algorithm 2 processes about 900,000 events, while the existing Algorithm 1 supports only 100,000 events.

Paper Citation

in Harvard Style

Grigorev U., Shashkin Y., Ploutenko A., Burdakov A. and Pluzhnikova O. (2023). Bank Checks Fraud Detection Based on the Analysis of Event Trends in Data-Flow Systems. In Proceedings of the 8th International Conference on Internet of Things, Big Data and Security - Volume 1: IoTBDS, ISBN 978-989-758-643-9, SciTePress, pages 97-104. DOI: 10.5220/0011727300003482

in Bibtex Style

@conference{iotbds23,
author={Uriy Grigorev and Yury Shashkin and Andrey Ploutenko and Aleksey Burdakov and Olga Pluzhnikova},
title={Bank Checks Fraud Detection Based on the Analysis of Event Trends in Data-Flow Systems},
booktitle={Proceedings of the 8th International Conference on Internet of Things, Big Data and Security - Volume 1: IoTBDS,},
year={2023},
pages={97-104},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0011727300003482},
isbn={978-989-758-643-9},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 8th International Conference on Internet of Things, Big Data and Security - Volume 1: IoTBDS,
TI - Bank Checks Fraud Detection Based on the Analysis of Event Trends in Data-Flow Systems
SN - 978-989-758-643-9
AU - Grigorev U.
AU - Shashkin Y.
AU - Ploutenko A.
AU - Burdakov A.
AU - Pluzhnikova O.
PY - 2023
SP - 97
EP - 104
DO - 10.5220/0011727300003482
PB - SciTePress