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US Patent 11997120 Detecting threats to datacenter based on analysis of anomalous events

Patent 11997120 was granted and assigned to VMware 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
VMware
VMware
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Current Assignee
VMware
VMware
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Patent Jurisdiction
United States Patent and Trademark Office
United States Patent and Trademark Office
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Patent Number
119971200
Patent Inventor Names
Tejas Sanjeev Panse0
Margaret Petrus0
Arnold Koon-Chee Poon0
Rajiv Mordani0
Aditi Vutukuri0
Date of Patent
May 28, 2024
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Patent Application Number
173722710
Date Filed
July 9, 2021
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Patent Citations
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US Patent 7908655 Connectionless port scan detection on a network
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US Patent 8005945 Aggregating policy criteria parameters into ranges for efficient network analysis
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US Patent 8125898 Method and system for detecting attack path connections in a computer network using state-space correlation
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US Patent 8359652 Detecting anomalies in access control lists
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US Patent 8495429 Log message anomaly detection
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US Patent 8499348 Detection of and responses to network attacks
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US Patent 8605655 Policy and charging control rule precedence mapping in wireless connectivity access networks
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US Patent 8762957 Use of execution flow shape to allow aggregate data reporting with full context in an application manager
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...
Patent Primary Examiner
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Aravind K Moorthy
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CPC Code
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H04L 63/1466
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H04L 63/20
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H04L 63/1425
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H04L 63/0263
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H04L 63/1416
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Patent abstract

Some embodiments provide a method for detecting a threat to a datacenter. The method receives a set of connections between a set of DCNs in the datacenter over a particular time period. The set of DCNs includes at least a first DCN at which a first anomalous event was detected. The method analyzes a set of detected anomalous events to identify additional anomalous events detected at other DCNs in the set of DCNs during the particular time period. Based on the first anomalous event and identified additional anomalous events, the method determines whether the anomalous events indicate a threat to the datacenter.

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