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US Patent 11431744 Detection of denial of service attacks

Patent 11431744 was granted and assigned to ExtraHop Networks on August, 2022 by the United States Patent and Trademark Office.

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Contents

Is a
Patent
Patent

Patent attributes

Patent Applicant
ExtraHop Networks
ExtraHop Networks
Current Assignee
ExtraHop Networks
ExtraHop Networks
Patent Jurisdiction
United States Patent and Trademark Office
United States Patent and Trademark Office
Patent Number
11431744
Patent Inventor Names
Khurram Waheed0
Arindum Mukerji0
Date of Patent
August 30, 2022
Patent Application Number
16813649
Date Filed
March 9, 2020
Patent Citations
‌
US Patent 10742677 Automatic determination of user roles and asset types based on network monitoring
0
‌
US Patent 10594718 Managing incident response operations based on monitored network activity
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US Patent 10778700 Malicious encrypted network traffic identification using fourier transform
0
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US Patent 10805338 Analyzing encrypted traffic behavior using contextual traffic data
0
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US Patent 10841194 Method and apparatus for analyzing traffic based on flow in cloud system
0
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US Patent 10992693 Near real-time detection of suspicious outbound traffic
0
‌
US Patent 11057420 Detection of malware and malicious applications
0
‌
US Patent 11159549 Network traffic threat identification
0
...
Patent Citations Received
‌
US Patent 12107888 Automated preemptive polymorphic deception
0
Patent Primary Examiner
‌
Kenneth W Chang
CPC Code
‌
H04L 2463/141
‌
H04L 63/1458
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H04L 63/1425

Embodiments are directed to monitoring network traffic over a network using one or more network monitoring computers. A monitoring engine may be instantiated to perform actions, including: monitoring network traffic to identify client requests provided by clients and server responses provided by servers in response to the client requests; determining request metrics associated with the client requests; and determining response metrics associated with the server responses. An analysis engine may be instantiated that performs actions, including: comparing the request metrics with the response metrics; determining atypical behavior associated with the clients based on the comparison such that the atypical behavior includes an absence of adaption by the clients to changes in the server responses; and providing alerts that may identify the clients be associated with the atypical behavior.

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