Invention Grant
- Patent Title: Detection of anomalies in communities based on access patterns by users
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Application No.: US16297513Application Date: 2019-03-08
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Publication No.: US11363042B2Publication Date: 2022-06-14
- Inventor: Omri Kessel , Shailaja Kamila , Pratyush Uppuluri , Jayanta Basak
- Applicant: NETAPP, INC.
- Applicant Address: US CA Sunnyvale
- Assignee: NETAPP, INC.
- Current Assignee: NETAPP, INC.
- Current Assignee Address: US CA Sunnyvale
- Agency: Haynes and Boone, LLP
- Priority: IN201941002420 20190121
- Main IPC: H04L9/40
- IPC: H04L9/40

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.
Public/Granted literature
- US20200236123A1 DETECTION OF ANOMALIES IN COMMUNITIES BASED ON ACCESS PATTERNS BY USERS Public/Granted day:2020-07-23
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