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US Patent 10382489 Technologies for privacy-preserving security policy evaluation

Patent 10382489 was granted and assigned to McAfee on August, 2019 by the United States Patent and Trademark Office.

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Contents

Is a
Patent
Patent
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Patent attributes

Patent Applicant
McAfee
McAfee
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Current Assignee
McAfee
McAfee
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Patent Jurisdiction
United States Patent and Trademark Office
United States Patent and Trademark Office
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Patent Number
103824890
Patent Inventor Names
Rajesh Poornachandran0
Arthur Zeigler0
Ned M. Smith0
Pramod Sharma0
Simon Hunt0
Sudeep Das0
Sumant Vashisth0
Vincent J. Zimmer0
Date of Patent
August 13, 2019
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Patent Application Number
153943700
Date Filed
December 29, 2016
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Patent Citations Received
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US Patent 12135789 Systems and methods of attack type and likelihood prediction
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US Patent 11588834 Systems and methods for identifying attack patterns or suspicious activity in client networks
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US Patent 11003718 Systems and methods for enabling a global aggregated search, while allowing configurable client anonymity
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US Patent 11044263 Systems and methods for threat discovery across distinct organizations
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US Patent 11632398 Systems and methods for sharing, distributing, or accessing security data and/or security applications, models, or analytics
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US Patent 11665201 Computer implemented system and method, and computer program product for reversibly remediating a security risk
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US Patent 11310268 Systems and methods using computer vision and machine learning for detection of malicious actions
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US Patent 11381589 Systems and methods for distributed extended common vulnerabilities and exposures data management
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Patent Primary Examiner
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Simon P Kanaan
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Patent abstract

Technologies for privacy-safe security policy evaluation include a cloud analytics server, a trusted data access mediator (TDAM) device, and one or more client devices. The cloud analytics server curries a security policy function to generate a privacy-safe curried function set. The cloud analytics server requests parameter data from the TDAM device, which collects the parameter data, identifies sensitive parameter data, encrypts the sensitive parameter data, and transmits the encrypted sensitive parameter data to the cloud analytics server. The cloud analytics server evaluates one or more curried functions using non-sensitive parameters to generate one or more sensitive functions that each take a sensitive parameter. The cloud analytics server transmits the sensitive functions and the encrypted sensitive parameters to a client computing device, which decrypts the encrypted sensitive parameters and evaluates the sensitive functions with the sensitive parameters to return a security policy. Other embodiments are described and claimed.

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