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US Patent 10187413 Network-based approach for training supervised learning classifiers

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Patent abstractTimelineTable: Further ResourcesReferences
Is a
Patent
Patent

Patent attributes

Patent Jurisdiction
United States Patent and Trademark Office
United States Patent and Trademark Office
Patent Number
10187413
Patent Inventor Names
Jean-Philippe Vasseur19
Andrea Di Pietro19
Fabien Flacher19
Grégory Mermoud19
Date of Patent
January 22, 2019
Patent Application Number
15212597
Date Filed
July 18, 2016
Patent Citations Received
‌
US Patent 12113801 System and method for maintaining network security in a mesh network by analyzing IP stack layer information in communications
1
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US Patent 11750630 Real-time validation of application data
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US Patent 11770392 Method and system for data communication with anomaly detection
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US Patent 11785036 Real-time validation of data transmissions based on security profiles
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US Patent 11895088 Method, system, and computer program product for preventing transmission of malicious data
2
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US Patent 11979423 Real-time classification of content in a data transmission
3
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US Patent 12088477 System and method for predicting anomalous requests and preventing anomalous interactions in a network
4
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US Patent 11477164 Method, system, and computer program product for preventing transmission of malicious data
...
Patent Primary Examiner
‌
Syed A Zaidi
Patent abstract

In one embodiment, a supervisory device in a network receives traffic data from a security device that uses traffic signatures to assess traffic in the network. The supervisory device receives traffic data from one or more distributed learning agents that use machine learning-based anomaly detection to assess traffic in the network. The supervisory device trains a traffic classifier using the received traffic data from the security device and from the one or more distributed learning agents. The supervisory device deploys the traffic classifier to a selected one of the one or more distributed learning agents.

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