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US Patent 10417415 Automated attack localization and detection

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Is a
Patent
Patent
0

Patent attributes

Patent Jurisdiction
United States Patent and Trademark Office
United States Patent and Trademark Office
0
Patent Number
104174150
Patent Inventor Names
Lalit Keshav Mestha0
Masoud Abbaszadeh0
Cody Bushey0
Daniel Francis Holzhauer0
Date of Patent
September 17, 2019
0
Patent Application Number
154784250
Date Filed
April 4, 2017
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Patent Citations Received
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US Patent 12067124 Systems and methods for node selection and ranking in cyber-physical systems
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US Patent 10721254 Systems and methods for behavioral cluster-based network threat detection
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US Patent 10785237 Learning method and system for separating independent and dependent attacks
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US Patent 11790081 Systems and methods for controlling an industrial asset in the presence of a cyber-attack
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US Patent 11916940 Attack detection and localization with adaptive thresholding
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US Patent 11930022 Cloud-based orchestration of incident response using multi-feed security event classifications
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US Patent 11934532 System for quantification of cybersecurity module efficacy using Q-matrix based correlation analysis
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US Patent 11477214 Cloud-based orchestration of incident response using multi-feed security event classifications with machine learning
Patent Primary Examiner
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Daniel B Potratz
0
Patent abstract

According to some embodiments, a threat detection computer platform may receive a plurality of real-time monitoring node signal values over time that represent a current operation of the industrial asset. For each stream of monitoring node signal values, the platform may generate a current monitoring node feature vector. The feature vector may also be estimated using a dynamic model output with that monitoring node signal values. The platform may then compare the feature vector with a corresponding decision boundary for that monitoring node, the decision boundary separating a normal state from an abnormal state for that monitoring node. The platform may detect that a particular monitoring node has passed the corresponding decision boundary and classify that particular monitoring node as being under attack. The platform may then automatically determine if the attack on that particular monitoring node is an independent attack or a dependent attack.

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