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US Patent 11996986 Systems and methods for zero-footprint large-scale user-entity behavior modeling

Patent 11996986 was granted and assigned to Extreme Networks on May, 2024 by the United States Patent and Trademark Office.

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Contents

Is a
Patent
Patent
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Patent attributes

Patent Applicant
Extreme Networks
Extreme Networks
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Current Assignee
Extreme Networks
Extreme Networks
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Patent Jurisdiction
United States Patent and Trademark Office
United States Patent and Trademark Office
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Patent Number
119969860
Patent Inventor Names
Giacomo Bernardi0
Markus Nispel0
Date of Patent
May 28, 2024
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Patent Application Number
179407470
Date Filed
September 8, 2022
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Patent Citations
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US Patent 9998485 Network intrusion data item clustering and analysis
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US Patent 10122747 Response generation after distributed monitoring and evaluation of multiple devices
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US Patent 10148540 System and method for anomaly detection in information technology operations
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US Patent 10235372 Log message storage
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US Patent 10423624 Event log analysis
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US Patent 10594710 Statistical analysis of network behavior using event vectors to identify behavioral anomalies using a composite score
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US Patent 10628403 Annotation system for extracting attributes from electronic data structures
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US Patent 10635565 Systems and methods for robust anomaly detection
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Patent Primary Examiner
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Dhairya A Patel
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CPC Code
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G06F 16/2255
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H04L 43/04
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H04L 41/145
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H04L 41/147
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H04L 47/621
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Patent abstract

Systems and methods are disclosed herein for reducing storage space used in tracking behavior of a plurality of network endpoints by modeling the behavior with a behavior model. To this end, control circuitry may determine a respective network endpoint, of a plurality of network endpoints, to which each respective record of a plurality of received records corresponds. The control circuitry then may assign a dedicated queue for each respective network endpoint, and transmit, to each dedicated queue, each record that corresponds to the respective network endpoint to which the respective dedicated queue is assigned. The control circuitry may then determine, for each respective network endpoint, a respective behavior model, and may store each respective behavior model to memory.

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