Invention Grant
- Patent Title: Protecting study participant data for aggregate analysis
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Application No.: US15907398Application Date: 2018-02-28
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Publication No.: US11194922B2Publication Date: 2021-12-07
- Inventor: Laxmi P. Parida , Daniel Enoch Platt
- Applicant: INTERNATIONAL BUSINESS MACHINES CORPORATION
- Applicant Address: US NY Armonk
- Assignee: INTERNATIONAL BUSINESS MACHINES CORPORATION
- Current Assignee: INTERNATIONAL BUSINESS MACHINES CORPORATION
- Current Assignee Address: US NY Armonk
- Agency: Cantor Colburn LLP
- Agent Kristofer Haggerty
- Main IPC: G06F21/62
- IPC: G06F21/62 ; H04L9/08 ; H04L9/00 ; H04L29/06

Abstract:
Embodiments of the invention include systems and methods for protecting study participant data for aggregate analysis. Aspects include sending a broker encryption key to a plurality of subjects. Aspects also include receiving double-encrypted subject data from the plurality of subjects. Aspects also include decrypting the double-encrypted subject data with a broker decryption key to generate single-encrypted subject data for the plurality of subjects. Aspects also include aggregating the single-encrypted subject data for the plurality of subjects to generate an aggregated single-homomorphically encrypted data set. Aspects also include including a plurality of random factors in the aggregated single-encrypted data set. Aspects also include sending the aggregated single-homomorphically encrypted data set to a researcher.
Public/Granted literature
- US20190266343A1 PROTECTING STUDY PARTICIPANT DATA FOR AGGREGATE ANALYSIS Public/Granted day:2019-08-29
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