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US Patent 7307999 Systems and methods that identify normal traffic during network attacks

Patent 7307999 was granted and assigned to Bbn Technologies on December, 2007 by the United States Patent and Trademark Office.

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Is a
Patent
Patent

Patent attributes

Current Assignee
Bbn Technologies
Bbn Technologies
Patent Jurisdiction
United States Patent and Trademark Office
United States Patent and Trademark Office
Patent Number
7307999
Date of Patent
December 11, 2007
Patent Application Number
10058442
Date Filed
January 28, 2002
Patent Citations Received
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US Patent 12126636 Anomaly alert system for cyber threat detection
0
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US Patent 11997113 Treating data flows differently based on level of interest
0
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US Patent 12063243 Autonomous email report generator
0
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US Patent 12069073 Cyber threat defense system and method
0
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US Patent 11716347 Malicious site detection for a cyber threat response system
0
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US Patent 11709944 Intelligent adversary simulator
0
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US Patent 11843628 Cyber security appliance for an operational technology network
0
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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
0
...
Patent Primary Examiner
‌
Edan Orgad
Patent abstract

A system protects against loss of communication during network attacks. In a first implementation, a system (120) models the behavior of normal users in a network in response to an application of a first packet filtering technique. The system (120) receives a group of packets from a first user subsequent to the application of the first packet filtering technique and creates one or more models reflecting the behavior of the first user based on the received packets. In another implementation, a system (130) receives a stream of packets subsequent to a filtering technique being applied, partitions the packets into groups, where each group corresponds to more than one packet, and classifies each group of packets as a normal group or an attack group using one or more models. Each model reflects a normal response to an application of the filtering technique. The system (130) forwards groups classified as normal groups, thus preventing network attacks from choking off all communication in the network.

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