基于银行账户亲密度网络推理的团伙预测研究

吕芳; 陆海博; 王巍; 黄俊恒; 王佰玲

doi:10.11959/j.issn.2096-109x.2019062

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基于银行账户亲密度网络推理的团伙预测研究

学术论文 | 更新时间：2024-06-03

- 基于银行账户亲密度网络推理的团伙预测研究
- Reasoning method for predicting crime partner by using intimacy network of bank accounts
- 网络与信息安全学报 2019年5卷第6期页码：95-104
- 作者机构：
- 作者简介：
  
  [ "吕芳（1990- ），女，山东阳谷人，哈尔滨工业大学（威海）博士生，主要研究方向为复杂网络、信息内容安全、数据掘" ]
  [ "陆海博（1998- ），男，甘肃酒泉人，主要研究方向为金融安全。" ]
  [ "王巍（1975- ），女，黑龙江齐齐哈尔人，博士，哈尔滨工业大学（威海）讲师、硕士生导师，主要研究方向为金融安全、数据挖掘、自然语言处理" ]
  [ "黄俊恒（1966- ），男，河南新乡人，哈尔滨工业大学（威海）副教授，主要研究方向为数据挖掘、人工智能" ]
  [ "王佰玲（1978- ），男，黑龙江哈尔滨人，哈尔滨工业大学（威海）教授、博士生导师，主要研究方向为信息对抗、信息安全、信息搜索、移动网络、金融安全" ]
- 基金信息：
  
  国家重点研发计划基金资助项目;National Key Research and Development Program of China(2018YFB2004201);国家重点研发计划基金资助项目;National Key Research and Development Program of China(2017YFB0801804);前沿科技创新专项基金资助项目;Frontier Science and Technology in Notation of China(2016QY05X1002-2);国家区域创新中心科技专项基金资助项目;National Regional Innovation Center Science and Technology Special Project of China(2017QYCX14);山东省重点研发计划基金资助项目;Key Research and Development Program of Shandong Province(2017CXGC0706);中央高校基本科研业务费专项基金资助项目;The Fundamental Research Funds for Central Universities(HIT.NSRIF.2020098);2017威海市大学共建基金资助项目;2017 University Co-construction Project in Weihai City
- DOI：10.11959/j.issn.2096-109x.2019062
  中图分类号： TP391.4
- 网络首发：2019-12，
  
  纸质出版：2019-12-15
- 稿件说明：
移动端阅览
吕芳, 陆海博, 王巍, 等. 基于银行账户亲密度网络推理的团伙预测研究[J]. 网络与信息安全学报, 2019,5(6):95-104.

Fang LYU, Haibo LU, Wei WANG, et al. Reasoning method for predicting crime partner by using intimacy network of bank accounts[J]. Chinese Journal of Network and Information Security, 2019, 5(6): 95-104.
吕芳, 陆海博, 王巍, 等. 基于银行账户亲密度网络推理的团伙预测研究[J]. 网络与信息安全学报, 2019,5(6):95-104. DOI： 10.11959/j.issn.2096-109x.2019062.

Fang LYU, Haibo LU, Wei WANG, et al. Reasoning method for predicting crime partner by using intimacy network of bank accounts[J]. Chinese Journal of Network and Information Security, 2019, 5(6): 95-104. DOI： 10.11959/j.issn.2096-109x.2019062.

摘要

近年来，针对涉众型非法金融活动在资金交易规律的研究引起了研究者的高度关注。为解决利用银行交易数据进行异常账户犯罪团伙主动发现的问题，提出一种基于银行账户非对称亲密度网络的团伙预测方法。首先，建立银行账户交易通用网络模型，将时序交易数据嵌入网络结构中。然后，利用节点的直接和间接交易关系信息，提出一种账户非对称亲密度计算方法。最终，利用节点在亲密度网络上的非对称交互信息，得到节点的异常倾向性指标。在包含传销团伙的真实数据上的实验结果表明，基于亲密度网络的团伙预测方法能有效发现潜在传销人员。

Abstract

In recent years

research on the law of capital transactions in the case of stakeholder-type illegal financial activities has attracted the attention of researchers.In order to solve the problem of using the bank transaction data to actively discover the abnormal account criminal crime partners

a crime partner prediction method based on the asymmetric intimacy network of the bank accounts was proposed.Firstly

a general network model for bank account transactions was established to embed time-series transaction data into the network structure.Then

using the direct and indirect transaction relationship information of the node

an account asymmetric intimacy calculation method was proposed.Finally

using the asymmetric interaction information of the nodes on the intimate network

the abnormal tendency index of the nodes is obtained.The experimental results on the actual data of the multi-level marketing group show that the crime partner prediction method based on the intimacy network can effectively find potential pyramid shelling members.

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references

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银行账户交易复杂网络特性分析