Invention Grant
- Patent Title: Detecting behavioral patterns and anomalies using activity data
- Patent Title (中): 使用活动数据检测行为模式和异常
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Application No.: US14513731Application Date: 2014-10-14
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Publication No.: US09311503B2Publication Date: 2016-04-12
- Inventor: Keng Lim
- Applicant: NextLabs, Inc.
- Applicant Address: US CA San Mateo
- Assignee: NextLabs, Inc.
- Current Assignee: NextLabs, Inc.
- Current Assignee Address: US CA San Mateo
- Agency: Aka Chan LLP
- Main IPC: G06F17/30
- IPC: G06F17/30 ; G06F21/62 ; G06F11/34 ; H04L29/06

Abstract:
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.
Public/Granted literature
- US20150033288A1 Detecting Behavioral Patterns and Anomalies Using Activity Data Public/Granted day:2015-01-29
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