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US Patent 12107888 Automated preemptive polymorphic deception

Patent 12107888 was granted and assigned to ExtraHop Networks on October, 2024 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
ExtraHop Networks
ExtraHop Networks
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Current Assignee
ExtraHop Networks
ExtraHop 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
121078880
Patent Inventor Names
Xue Jun Wu0
Changhwan Oh0
Bhushan Prasad Khanal0
J. Braund0
Swagat Dasgupta0
Date of Patent
October 1, 2024
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Patent Application Number
175165290
Date Filed
November 1, 2021
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Patent Citations
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US Patent 6999729 Contact management for mobile communication devices in wireless packet switched networks
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US Patent 7042888 System and method for processing packets
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US Patent 7047303 Apparatus and method for using a network processor to guard against a “denial-of-service” attack on a server or server cluster
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US Patent 7089326 Fast-path processing for receiving data on TCP connection offload devices
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US Patent RE39360 System for signatureless transmission and reception of data packets between computer networks
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US Patent 7133365 System and method to provide routing control of information over networks
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US Patent 7143153 Internal network device dynamic health monitoring
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US Patent 7177930 Method and system for network traffic analysis with configuration enhancements
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...
Patent Primary Examiner
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Kevin Bechtel
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CPC Code
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H04L 63/20
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H04L 63/1491
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H04L 63/1441
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H04L 63/1433
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Patent abstract

Embodiments are directed to monitoring network traffic using network monitoring computers (NMCs). Anomalous events may be classified based on the monitored network traffic and attack models such that the classification determines that targets of the anomalous events may be currently subject to attacks by entities communicating on the networks. A honeypot trap may be provided in the networks based on the classified events such that the honeypot trap mimics characteristics of the targets. The portions of the network traffic associated with the honeypot trap may be monitored. Characteristics of the attacks may be determined based on the monitored portions of network traffic. Reports that include information based on the characteristics of the attacks may be generated.

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