发明申请
- 专利标题: CONTINUOUS ANOMALY DETECTION BASED ON BEHAVIOR MODELING AND HETEROGENEOUS INFORMATION ANALYSIS
- 专利标题(中): 基于行为建模和异构信息分析的连续异常检测
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申请号: US12941849申请日: 2010-11-08
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公开(公告)号: US20120137367A1公开(公告)日: 2012-05-31
- 发明人: Laurent Dupont , Elizabeth B. Charnock , Steve Roberts , Eli Yawo Amesefe , Keith Eric Schon , Richard Thomas Oehrle
- 申请人: Laurent Dupont , Elizabeth B. Charnock , Steve Roberts , Eli Yawo Amesefe , Keith Eric Schon , Richard Thomas Oehrle
- 申请人地址: US CA Redwood City
- 专利权人: Cataphora, Inc.
- 当前专利权人: Cataphora, Inc.
- 当前专利权人地址: US CA Redwood City
- 主分类号: G06F21/00
- IPC分类号: G06F21/00
摘要:
The present disclosure describes a continuous anomaly detection method and system based on multi-dimensional behavior modeling and heterogeneous information analysis. A method includes collecting data, processing and categorizing a plurality of events, continuously clustering the plurality of events, continuously model building for behavior and information analysis, analyzing behavior and information based on a holistic model, detecting anomalies in the data, displaying an animated and interactive visualization of a behavioral model, and displaying an animated and interactive visualization of the detected anomalies.
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