- 专利标题: DETECTION OF ANOMALOUS COUNT OF NEW ENTITIES
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申请号: US16938776申请日: 2020-07-24
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公开(公告)号: US20220030019A1公开(公告)日: 2022-01-27
- 发明人: Hani Hana NEUVIRTH , Dawn A. BURNS , Andrey KARPOVSKY , Yotam LIVNY
- 申请人: MICROSOFT TECHNOLOGY LICENSING, LLC
- 申请人地址: US WA Redmond
- 专利权人: MICROSOFT TECHNOLOGY LICENSING, LLC
- 当前专利权人: MICROSOFT TECHNOLOGY LICENSING, LLC
- 当前专利权人地址: US WA Redmond
- 主分类号: H04L29/06
- IPC分类号: H04L29/06 ; G06F16/2458
摘要:
An indication of a security alert and a context for the security alert is received. The context includes one or more entities related to the context and a timestamp for the security alert. Data sources for the one or more entities are searched during a time window around the timestamp. One or more anomaly detection models are executed to identify anomalies that are related to the security alert based on the context. Identified anomalies for investigation of the security alert are output.
公开/授权文献
- US11652833B2 Detection of anomalous count of new entities 公开/授权日:2023-05-16
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