Research on the method of discovering specific organization structure in bank account transaction network
In recent years,stakeholder economic crime behaviors such as illegal pyramid schemes,illegal fund raising and money laundering despite repeated prohibitions,makes the research of anomaly detection in financial transaction network has gradually attracted the attention of researchers.The way how to fu...
Saved in:
Main Authors: | , , , , |
---|---|
Format: | Article |
Language: | English |
Published: |
POSTS&TELECOM PRESS Co., LTD
2020-02-01
|
Series: | 网络与信息安全学报 |
Subjects: | |
Online Access: | http://www.cjnis.com.cn/thesisDetails#10.11959/j.issn.2096-109x.2020001 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
_version_ | 1841530002372296704 |
---|---|
author | Fang LYU Xijing LU Wei WANG Junheng HUANG Bailing WANG |
author_facet | Fang LYU Xijing LU Wei WANG Junheng HUANG Bailing WANG |
author_sort | Fang LYU |
collection | DOAJ |
description | In recent years,stakeholder economic crime behaviors such as illegal pyramid schemes,illegal fund raising and money laundering despite repeated prohibitions,makes the research of anomaly detection in financial transaction network has gradually attracted the attention of researchers.The way how to fund flow between bank accounts in an illegal organization implies the relationship structure of their members.Firstly,a directed weighted transaction network model was built on the basis of the transaction characteristics.Then,combining with the localtopology structure of the built transaction network of the accounts,two kinds of core nodes of the organization,including black hole nodes and star nodes,were defined.By analyzing the relationship between those two kinds nodes,an organization discovery algorithm of combining “black hole and star nodes” based on spanning subgraph was proposed.Experiments on real bank accounts transaction network containing illegal pyramid scheme organizations show the effectiveness of the algorithm in discovering the specific tree organization structure. |
format | Article |
id | doaj-art-c100e7c1736c44d99012ffaf6514618b |
institution | Kabale University |
issn | 2096-109X |
language | English |
publishDate | 2020-02-01 |
publisher | POSTS&TELECOM PRESS Co., LTD |
record_format | Article |
series | 网络与信息安全学报 |
spelling | doaj-art-c100e7c1736c44d99012ffaf6514618b2025-01-15T03:13:56ZengPOSTS&TELECOM PRESS Co., LTD网络与信息安全学报2096-109X2020-02-016626959557806Research on the method of discovering specific organization structure in bank account transaction networkFang LYUXijing LUWei WANGJunheng HUANGBailing WANGIn recent years,stakeholder economic crime behaviors such as illegal pyramid schemes,illegal fund raising and money laundering despite repeated prohibitions,makes the research of anomaly detection in financial transaction network has gradually attracted the attention of researchers.The way how to fund flow between bank accounts in an illegal organization implies the relationship structure of their members.Firstly,a directed weighted transaction network model was built on the basis of the transaction characteristics.Then,combining with the localtopology structure of the built transaction network of the accounts,two kinds of core nodes of the organization,including black hole nodes and star nodes,were defined.By analyzing the relationship between those two kinds nodes,an organization discovery algorithm of combining “black hole and star nodes” based on spanning subgraph was proposed.Experiments on real bank accounts transaction network containing illegal pyramid scheme organizations show the effectiveness of the algorithm in discovering the specific tree organization structure.http://www.cjnis.com.cn/thesisDetails#10.11959/j.issn.2096-109x.2020001financial transaction networkblack hole nodesstar nodesspanning subgraph |
spellingShingle | Fang LYU Xijing LU Wei WANG Junheng HUANG Bailing WANG Research on the method of discovering specific organization structure in bank account transaction network 网络与信息安全学报 financial transaction network black hole nodes star nodes spanning subgraph |
title | Research on the method of discovering specific organization structure in bank account transaction network |
title_full | Research on the method of discovering specific organization structure in bank account transaction network |
title_fullStr | Research on the method of discovering specific organization structure in bank account transaction network |
title_full_unstemmed | Research on the method of discovering specific organization structure in bank account transaction network |
title_short | Research on the method of discovering specific organization structure in bank account transaction network |
title_sort | research on the method of discovering specific organization structure in bank account transaction network |
topic | financial transaction network black hole nodes star nodes spanning subgraph |
url | http://www.cjnis.com.cn/thesisDetails#10.11959/j.issn.2096-109x.2020001 |
work_keys_str_mv | AT fanglyu researchonthemethodofdiscoveringspecificorganizationstructureinbankaccounttransactionnetwork AT xijinglu researchonthemethodofdiscoveringspecificorganizationstructureinbankaccounttransactionnetwork AT weiwang researchonthemethodofdiscoveringspecificorganizationstructureinbankaccounttransactionnetwork AT junhenghuang researchonthemethodofdiscoveringspecificorganizationstructureinbankaccounttransactionnetwork AT bailingwang researchonthemethodofdiscoveringspecificorganizationstructureinbankaccounttransactionnetwork |