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US Patent 10193913 Joint anomaly detection across IOT devices

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Contents

Is a
Patent
Patent
0

Patent attributes

Patent Jurisdiction
United States Patent and Trademark Office
United States Patent and Trademark Office
0
Patent Number
101939130
Patent Inventor Names
Lukas Machlica0
Michal Sofka0
Date of Patent
January 29, 2019
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Patent Application Number
152289800
Date Filed
August 4, 2016
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Patent Citations Received
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US Patent 12081569 Graph-based analysis of security incidents
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US Patent 11303653 Network threat detection and information security using machine learning
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US Patent 11323473 Network threat prevention and information security using machine learning
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US Patent 11989627 Automated machine learning pipeline generation
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0
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US Patent 11489853 Distributed threat sensor data aggregation and data export
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US Patent 11233808 Networking system
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US Patent 11611580 Malware infection detection service for IoT devices
Patent Primary Examiner
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Matthew Smithers
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Patent abstract

Systems and methods of the present disclosure provide technology to identify when network-connected devices are likely infected with malware. Network communications are be monitored during a specific time window and a graph is created for a conditional random field (CRF) model. Vertices of the graph represent devices connected to the network and an edge between two vertices indicates that one or more network communications occurred between two devices represented by the two vertices during the time window. Network devices can report observations about network behavior during the time window and the observations can be used as input for the CRF model. The CRF model can then be used to determine infection-status values for the network devices.

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