首页> 外国专利> PATTERN-BASED EXAMINATION AND DETECTION OF MALFEASANCE THROUGH DYNAMIC GRAPH NETWORK FLOW ANALYSIS

PATTERN-BASED EXAMINATION AND DETECTION OF MALFEASANCE THROUGH DYNAMIC GRAPH NETWORK FLOW ANALYSIS

机译:动态图形网络流分析的基于模式的故障检测与检测

摘要

Embodiments of the present invention provide a system for a pattern-based examination and detection of malfeasance through dynamic graph network flow analysis. The system is typically configured for extracting historical information for a first plurality of resource pools, generating a historical dynamic graph based on the historical information, identifying from the historical information, a historical set of resource distribution events associated with a malfeasance, determining from the historical dynamic graph, at least one historical malfeasance pattern, receiving current resource distribution request information for a second plurality of resource pools, generating a current dynamic graph comprising a current plurality of nodes and a current plurality of edges, monitoring the current dynamic graph and identify a current malfeasance pattern, and executing one or more remediation actions on one or more of the second plurality of resource pools associated with the current dynamic graph.
机译:本发明的实施例提供了一种用于通过动态图网络流分析来基于模式的对违法行为的检查和检测的系统。该系统通常被配置为提取用于第一多个资源池的历史信息,基于该历史信息生成历史动态图,从该历史信息中识别与不法行为相关联的资源分配事件的历史集合,从该历史中确定动态图,至少一个历史上的渎职模式,接收针对第二多个资源池的当前资源分配请求信息,生成包括当前多个节点和当前多个边缘的当前动态图,监视当前动态图并识别当前的不当行为模式,并在与当前动态图相关联的第二多个资源池中的一个或多个上执行一个或多个补救措施。

著录项

  • 公开/公告号US2020169483A1

    专利类型

  • 公开/公告日2020-05-28

    原文格式PDF

  • 申请/专利权人 BANK OF AMERICA CORPORATION;

    申请/专利号US201816200050

  • 发明设计人 EREN KURSUN;

    申请日2018-11-26

  • 分类号H04L12/26;H04L12/24;G06F9/50;H04L29/08;

  • 国家 US

  • 入库时间 2022-08-21 11:20:59

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