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US Patent 11785032 Security threat detection based on network flow analysis

Patent 11785032 was granted and assigned to VMware on October, 2023 by the United States Patent and Trademark Office.

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Contents

Is a
Patent
Patent

Patent attributes

Patent Applicant
VMware
VMware
Current Assignee
VMware
VMware
Patent Jurisdiction
United States Patent and Trademark Office
United States Patent and Trademark Office
Patent Number
11785032
Patent Inventor Names
Aditi Vutukuri
Margaret Petrus
Santhanakrishnan Kaliya Perumal
Rajiv Mordani
Tejas Sanjeev Panse
Date of Patent
October 10, 2023
Patent Application Number
17220550
Date Filed
April 1, 2021
Patent Citations
‌
US Patent 8495429 Log message anomaly detection
‌
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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US Patent 9215213 Method and apparatus for distributing firewall rules
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US Patent 9218527 Anomaly detection in streaming data
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US Patent 7580356 Method and system for dynamically capturing flow traffic data
‌
US Patent 7739211 Dynamic SNA-based anomaly detection using unsupervised learning
‌
US Patent 7908655 Connectionless port scan detection on a network
...
Patent Primary Examiner
‌
Ka Shan Choy
CPC Code
‌
H04L 63/20
‌
H04L 63/1425
Patent abstract

Some embodiments provide a method for identifying security threats to a datacenter. From multiple host computers in the datacenter, the method receives data indicating port usage for a particular time period for each of multiple destination data compute nodes (DCNs) executing on the host computers. For each DCN of a set of the destination DCNs, identifies whether the port usage for the particular time period deviates from a historical baseline port usage for the DCN. When the port usage for a particular DCN deviates from the historical baseline for the particular DCN, the method identifies the particular DCN as a target of a security threat.

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