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US Patent 10121000 System and method to detect premium attacks on electronic networks and electronic devices

Patent 10121000 was granted and assigned to FireEye on November, 2018 by the United States Patent and Trademark Office.

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Contents

Is a
Patent
Patent
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Patent attributes

Patent Applicant
FireEye
FireEye
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Current Assignee
FireEye
FireEye
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Patent Jurisdiction
United States Patent and Trademark Office
United States Patent and Trademark Office
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Patent Number
101210000
Patent Inventor Names
Naveed Alam0
Vinoth Duraisamy0
Alexandr Rivlin0
Date of Patent
November 6, 2018
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Patent Application Number
151959090
Date Filed
June 28, 2016
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Patent Citations Received
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US Patent 12130878 Deduplication of monitored communications data in a cloud environment
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US Patent 12095796 Instruction-level threat assessment
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US Patent 12095879 Identifying encountered and unencountered conditions in software applications
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US Patent 12120140 Detecting threats against computing resources based on user behavior changes
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US Patent 12126643 Leveraging generative artificial intelligence (‘AI’) for securing a monitored deployment
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US Patent 12126695 Enhancing security of a cloud deployment based on learnings from other cloud deployments
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US Patent 11470110 Identifying and classifying community attacks
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US Patent 11522884 Subscription and key management system
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Patent Primary Examiner
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Eleni A Shiferaw
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Patent abstract

A computerized method for detecting premium attacks by an attack classification system is described. Based on received analytic information, the attack classification system generates logical representations for different portions of the analytic information represented as a nodal graph. The logical representations include objects, properties, and relationships between the objects and the properties. The attack classification system filters at least one relationship from the relationships and forms a first cluster further filtering the relationships. Being a logical representation of objects, properties and the remaining relationships, the first cluster is analyzed to determine features and introduce the features into the nodal graph. An analysis of the features determines whether the objects, properties and relationships forming the first cluster are associated with a premium attack by at least applying rule-based constraints to the features of the first cluster to determine whether they correspond to cluster features commonly present in premium attacks.

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