NetApp, Inc.
DETECTION OF ANOMALIES IN COMMUNITIES BASED ON ACCESS PATTERNS BY USERS

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Abstract:

A system, method, and machine-readable storage medium for detecting an anomaly are provided. In some embodiments, the method includes computing an access rate of a set of entities for each user of a plurality of users. The access rate may refer to data operations for the set of entities stored by a storage system. The method also includes normalizing the access rates for a subset of the plurality of users, the subset belonging to a community. The method further includes determining whether a normalized access rate from among the access rates satisfies a threshold. The method also includes detecting an anomaly in response to a determination that the normalized access rate satisfies the threshold.

Status:
Application
Type:

Utility

Filling date:

8 Mar 2019

Issue date:

23 Jul 2020