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

Topics: Algorithms, software engineering and development; Case Studies; Financial Applications for Risk, Pricing, Disaster Analysis and Predictive Modeling ; Modeling, Experiments, Sharing Technologies & Platforms; Software engineering for security modeling, business process modeling and analytics

Authors: Uriy Grigorev 1 ; Yury Shashkin 1 ; Andrey Ploutenko 2 ; Aleksey Burdakov 1 and Olga Pluzhnikova 1

Affiliations: 1 Bauman Moscow State Technical University, Moscow, Russia ; 2 Amur State University, Blagoveschensk, Russia

Keyword(s): CEP, Fraud with Not-covered Checks, CET Graph, BTree Index, Hash Index.

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.

CC BY-NC-ND 4.0

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Paper citation in several formats:
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 - IoTBDS; ISBN 978-989-758-643-9; ISSN 2184-4976, SciTePress, pages 97-104. DOI: 10.5220/0011727300003482

@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 - IoTBDS},
year={2023},
pages={97-104},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0011727300003482},
isbn={978-989-758-643-9},
issn={2184-4976},
}

TY - CONF

JO - Proceedings of the 8th International Conference on Internet of Things, Big Data and Security - IoTBDS
TI - Bank Checks Fraud Detection Based on the Analysis of Event Trends in Data-Flow Systems
SN - 978-989-758-643-9
IS - 2184-4976
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

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