发明授权
- 专利标题: Detecting behavioral patterns and anomalies using activity data
- 专利标题(中): 使用活动数据检测行为模式和异常
-
申请号: US14513731申请日: 2014-10-14
-
公开(公告)号: US09311503B2公开(公告)日: 2016-04-12
- 发明人: Keng Lim
- 申请人: NextLabs, Inc.
- 申请人地址: US CA San Mateo
- 专利权人: NextLabs, Inc.
- 当前专利权人: NextLabs, Inc.
- 当前专利权人地址: US CA San Mateo
- 代理机构: Aka Chan LLP
- 主分类号: G06F17/30
- IPC分类号: G06F17/30 ; G06F21/62 ; G06F11/34 ; H04L29/06
摘要:
Activity data is analyzed or evaluated to detect behavioral patterns and anomalies. When a particular pattern or anomaly is detected, a system may send a notification or perform a particular task. This activity data may be collected in an information management system, which may be policy based. Notification may be by way e-mail, report, pop-up message, or system message. Some tasks to perform upon detection may include implementing a policy in the information management system, disallowing a user from connecting to the system, and restricting a user from being allowed to perform certain actions. To detect a pattern, activity data may be compared to a previously defined or generated activity profile.
公开/授权文献
信息查询