Privacy Centric Feature Analysis for Mobile Devices

Patent №

US 9,313,656

Granted

2016-04-12

Filed 2015

Owner

QUANTCAST CORP

Lab

AI components

2

kr · planning

Assignment

Recorded

Dataset

AIPD

2023_r1 edition

Application

14826618

Privacy centric feature analysis. A secure set of multiple mapped features is selected and provided to a mobile device. Each mapped feature maps a sharable feature to a matching criterion for an item of protected information and no combination of mapped features for a secure set are unique to an individual item of protected information. Privacy compliance instructions enable the mobile device to select a mapped feature from a received set of mapped features by identifying an item of protected information available to the mobile device which corresponds to a matching criterion found in the received set of mapped features. The sharable feature of the selected mapped feature is identified and sent to a privacy compliant destination. Advantageously, the analysis system protects the privacy of the mobile device user because it does not require the mobile device to relay protected information for the selection of customized content or relevant advertisements.

Knowledge representationPlanningH04W 12/02H04W 4/02H04W 4/021H04W 4/023H04W 4/029

AI classification

Planning1.00
Knowledge representation0.98
Evolutionary computation0.29
AI hardware0.14
Vision0.04
Speech0.00
Machine learning0.00
Natural language0.00

Ownership

QUANTCAST CORP

assignment · 376180672

Assignors

VOGEL FERNANDEZ DE CASTRO, DANIEL, FELDMAN, KONRAD S, BLUM, MICHAEL R

On an employer assignment, the assignors are typically the inventors.

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