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US Patent 8959643 Detecting malware infestations in large-scale networks

Patent 8959643 was granted and assigned to Narus Inc on February, 2015 by the United States Patent and Trademark Office.

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Is a
Patent
Patent
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Patent attributes

Patent Applicant
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Narus Inc
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Current Assignee
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Narus Inc
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Patent Jurisdiction
United States Patent and Trademark Office
United States Patent and Trademark Office
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Patent Number
89596430
Patent Inventor Names
Sabyasachi Saha0
Stanislav Miskovic0
Giovanni Vigna0
Luca Invernizzi0
Ruben Torres0
Sung-Ju Lee0
Antonio Nucci0
Christopher Kruegel0
Date of Patent
February 17, 2015
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Patent Application Number
139639580
Date Filed
August 9, 2013
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Patent Citations Received
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US Patent 12132757 Preventing cloud-based phishing attacks using shared documents with malicious links
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US Patent 11665207 Inline secret sharing
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US Patent 11706233 Detecting injection attacks using passive network monitoring
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US Patent 11843513 Heterogeneous graph clustering using a pointwise mutual information criterion
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US Patent 11843606 Detecting abnormal data access based on data similarity
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US Patent 11888720 Artificial intelligence-based lateral movement identification tool
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US Patent 11916771 Combining passive network analysis and active probing
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0
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Patent Primary Examiner
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Shewaye Gelagay
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Patent abstract

A method for detecting a malicious activity in a network. The method includes obtaining file download flows from the network, analyzing, the file download flows to generate malicious indications using a pre-determined malicious behavior detection algorithm, extracting a file download attribute from a suspicious file download flow of a malicious indication, wherein the file download attribute represents one or more of the URL, the FQDN, the top-level domain name, the URL path, the URL file name, and the payload of the suspicious file download flow, determining the file download attribute as being shared by at least two suspicious file download flows, identifying related suspicious file download flows and determining a level of association between based at least on the file download attribute, computing a malicious score of the suspicious file download flow based on the level of association, and presenting the malicious score to an analyst user of the network.

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