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US Patent 9672355 Automated behavioral and static analysis using an instrumented sandbox and machine learning classification for mobile security

Patent 9672355 was granted and assigned to Veracode on June, 2017 by the United States Patent and Trademark Office.

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Contents

Is a
Patent
Patent
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Patent attributes

Current Assignee
Veracode
Veracode
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Patent Jurisdiction
United States Patent and Trademark Office
United States Patent and Trademark Office
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Patent Number
96723550
Patent Inventor Names
Christopher John Wysopal0
Nelson Roberto Manohar-Alers0
Theodora Heather Titonis0
Date of Patent
June 6, 2017
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Patent Application Number
136175680
Date Filed
September 14, 2012
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Patent Citations Received
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US Patent 12137123 Rapid predictive analysis of very large data sets using the distributed computational graph
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US Patent 12081656 Techniques for circumventing provider-imposed limitations in snapshot inspection of disks for cybersecurity
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US Patent 12079328 Techniques for inspecting running virtualizations for cybersecurity risks
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US Patent 12095790 Methods and systems to monitor groups of sensory data for malicious behaviors through statistical analysis
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US Patent 12095912 System and method for encrypted disk inspection utilizing disk cloning techniques
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US Patent 12107895 Privilege assurance of enterprise computer network environments using attack path detection and prediction
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US Patent 12113831 Privilege assurance of enterprise computer network environments using lateral movement detection and prevention
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US Patent 11671443 Hierarchical risk assessment and remediation of threats in mobile networking environment
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...
Patent Primary Examiner
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Minh Dinh
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Patent abstract

The present system includes a computer-networked system that allows mobile subscribers, and others, to submit mobile applications to be analyzed for anomalous and malicious behavior using data acquired during the execution of the application within a highly instrumented and controlled environment for which the analysis relies on per-execution as well as comparative aggregate data across many such executions from one or more subscribers.

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