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US Patent 9210181 Detection of anomaly in network flow data

Patent 9210181 was granted and assigned to Solana Networks on December, 2015 by the United States Patent and Trademark Office.

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Patent abstractTimelineTable: Further ResourcesReferences
Is a
Patent
Patent
1

Patent attributes

Patent Applicant
Solana Networks
Solana Networks
1
Current Assignee
Solana Networks
Solana Networks
1
Patent Jurisdiction
United States Patent and Trademark Office
United States Patent and Trademark Office
1
Patent Number
92101811
Date of Patent
December 8, 2015
1
Patent Application Number
142871821
Date Filed
May 26, 2014
1
Patent Citations Received
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US Patent 11853853 Providing human-interpretable explanation for model-detected anomalies
2
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US Patent 12088600 Machine learning system for detecting anomalies in hunt data
3
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US Patent 12069079 Generating synthetic datapoints from observed datapoints for training machine learning models
4
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US Patent 11750639 ATM-based anomaly and security threat detection
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US Patent 11750638 Server-based anomaly and security threat detection in multiple ATMs
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US Patent 12010152 Information security systems and methods for cyber threat event prediction and mitigation
5
Patent Primary Examiner
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Morshed Mehedi
1
Patent abstract

Disclosed is a method 101 to be used on collected network data flow 116 associated with a network 100; the method 101 includes: an anomaly-detection operation 103 including: (A) obtaining the collected network data flow 116; and (B) performing an iterative principal component analysis on the collected network data flow 116 to detect an anomaly associated with the collected network data flow 116. The method may be used in a server and a network, and may also be implemented as a non-transitory computer-readable media. A corresponding system for detecting the anomaly in the network flow data is also provided.

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