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US Patent 9727723 Recommendation system based approach in reducing false positives in anomaly detection

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Contents

Is a
Patent
Patent
0

Patent attributes

Patent Applicant
0
Patent Jurisdiction
United States Patent and Trademark Office
United States Patent and Trademark Office
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Patent Number
97277230
Patent Inventor Names
Derek Lin0
Anirudh Kondaveeti0
Hulya Emir-Farinas0
Date of Patent
August 8, 2017
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Patent Application Number
143085900
Date Filed
June 18, 2014
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Patent Citations Received
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US Patent 11716340 Threat detection using cloud resource management logs
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US Patent 11716347 Malicious site detection for a cyber threat response system
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US Patent 11709944 Intelligent adversary simulator
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US Patent 12069073 Cyber threat defense system and method
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US Patent 11843628 Cyber security appliance for an operational technology network
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US Patent 11924238 Cyber threat defense system, components, and a method for using artificial intelligence models trained on a normal pattern of life for systems with unusual data sources
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US Patent 11936667 Cyber security system applying network sequence prediction using transformers
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US Patent 11962552 Endpoint agent extension of a machine learning cyber defense system for email
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...
Patent Primary Examiner
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Eleni Shiferaw
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Patent abstract

Techniques to reduce false positives in detecting anomalous use of resources are disclosed. In various embodiments, resource access data indicating for each resource in a set of resources respective usage data for each of one or more users of the resource is received. Cluster analysis is performed to determine one or more clusters of users. For each cluster, a set of recommended resources to be associated with the cluster is determined. For each of at least a subset of users, a temporal behavior based model for each user that reflects one or more resources included in the set of recommended resources associated with a corresponding cluster of which the user is a member is generated.

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