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US Patent 12019745 Cyberanalysis workflow acceleration

Patent 12019745 was granted and assigned to centripetal networks on June, 2024 by the United States Patent and Trademark Office.

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Contents

Is a
Patent
Patent
0

Patent attributes

Patent Applicant
centripetal networks
centripetal networks
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Current Assignee
centripetal networks
centripetal networks
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Patent Jurisdiction
United States Patent and Trademark Office
United States Patent and Trademark Office
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Patent Number
120197450
Patent Inventor Names
Jess P. Parnell0
Zachary Ehnerd0
Jonathan R. Rogers0
Sean Moore0
Date of Patent
June 25, 2024
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Patent Application Number
183704840
Date Filed
September 20, 2023
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Patent Citations
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US Patent 7143438 Methods and apparatus for a computer network firewall with multiple domain support
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US Patent 7152240 Method for communication security and apparatus therefor
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US Patent 7185368 Flow-based detection of network intrusions
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US Patent 7215637 Systems and methods for processing packets
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US Patent 7225269 Network gateway system having rules for exchanging packet, network gateway method, and network gateway device therefor
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US Patent 7227842 Fast IP packet classification with configurable processor
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US Patent 7237267 Policy-based network security management
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US Patent 7263099 Multicast packet replication
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...
Patent Primary Examiner
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Evans Desrosiers
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CPC Code
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G06F 21/554
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G06F 2221/034
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G06N 20/00
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Patent abstract

A cyber threat intelligence (CTI) gateway device may receive rules for filtering TCP/IP packet communications events that are configured to cause the CTI gateway device to identify communications corresponding to indicators, signatures, and behavioral patterns of network threats. The CTI gateway device may receive packets that compose endpoint-to-endpoint communication events and, for each event, may determine that the event corresponds to criteria specified by a filtering rule. The criteria may correspond to one or more of the network threat indicators, signatures, and behavioral patterns. The CTI gateway may create a log of the threat event and forward the threat event log to a task queue managed by a cyberanalysis workflow application. Human cyberanalysts use the cyberanalysis workflow application to service the task queue by removing the task at the front of the queue, investigating the threat event, and deciding whether the event is a reportable finding that should be reported to the proper authorities. In order to improve the efficiency of the workflow process, tasks in the queue are ordered by the likelihood, or probability, that cyberanalysts will determine the associated threat events to be reportable findings; thus, high-likelihood events are investigated first. Likelihoods are computed using human-designed algorithms and machine-learned algorithms that are applied to characteristics of the events. Low-likelihood events may be dropped from the work queue to further improve efficiency.

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