基于信息熵的金融网络洗钱社区发现新算法  

An information entropy based new money laundering community discovery algorithm of financial network

作　　者：吕林涛[1] 袁琴琴[1] 吕晖[2] 李婉荣 Lü Lintao;YUAN Qinqin;Lü Hui;LI Wanrong(Department of Information Engineering,Xijing University,Xi’an 710123,China;College of Civil Engineering,Chongqing University,Chongqing 400044,China;College of Computer Science and Engineering,Xi’an University of Technology,Xi’an 710048,China)

机构地区：[1]西京学院信息工程学院,陕西西安710123 [2]重庆大学土木工程学院,重庆400044 [3]西安理工大学计算机科学与工程学院,陕西西安710048

出　　处：《现代电子技术》2017年第17期131-134,共4页Modern Electronics Technique

基　　金：国家自然科学基金(61273271);陕西省工业科技攻关项目(2016GY-141);陕西省教育厅科研项目(16JK2241);西京学院教改项目(JYYB1638)资助

摘　　要：针对洗钱交易的大数据大额可疑特征和量化特点,基于凝聚和优化指标的思想,提出一种ML-CDBIE算法。该算法根据节点信息熵的相似性和社区信息熵的稳定性进行洗钱社区发现。根据增加节点后社区熵的变化是否剧烈可以判断节点的划分是否正确,是否属于社区的成员,从而实现洗钱社区的发现。实验结果表明,该算法不仅具有洗钱账户识别率高和良好的社区结构,而且为金融网络洗钱社区发现提供了一种新途径。According to the large quantity and suspicious characteristic and quantitative features of money laundering transaction,a money laundering community discovery algorithm based on information entropy(ML-CDBIE)is proposed according tothe thoughts of aggregation and indicator optimization.The characteristic of the algorithm is to discover money laundering community according to the similarity of nodes information entropy and stability of community information entropy.According to the dramatic change of the community entropy after nodes addition,it can determine whether the nodes division is correct,or belongsto the community,which can discover the money laundering community.The experimental results show that the algorithm hashigh recognition rate and perfect community structure of money laundering account,and also provides a new way to discover themoney laundering community of financial network.

关 键 词：金融网络 洗钱交易 信息熵 社区发现 社区划分 

分 类 号：TN911.1-34[电子电信—通信与信息系统] TP393[电子电信—信息与通信工程]