Detecting Behavioral Patterns and Anomalies Using Activity Profiles
AssigneeNextLabs, Inc.
InventorKeng Lim
Life of this patent
Estimating the term…
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.
Claims1
A method of an information management system comprising:
- providing a plurality of devices;
- providing an activity database;
- providing a first activity profile;
- collecting information usage data from the plurality of devices and storing in the activity database;
- analyzing the information usage data in the activity database to generate a second activity profile;
- comparing the second activity profile with first activity profile to determine a set of differences;
- using the set of differences, detecting whether a condition has occurred;
- and
- when the condition has occurred, generating a notification of the condition.
Dependencies are inferred from the claim text.