Invention Grant
- Patent Title: Asymmetric journalist risk model of data re-identification
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Application No.: US15271664Application Date: 2016-09-21
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Publication No.: US10242213B2Publication Date: 2019-03-26
- Inventor: Martin Scaiano , Andrew Baker , Stephen Korte , Khaled El Emam
- Applicant: Privacy Analytics Inc.
- Applicant Address: CA Ottawa, ON
- Assignee: PRIVACY ANALYTICS INC.
- Current Assignee: PRIVACY ANALYTICS INC.
- Current Assignee Address: CA Ottawa, ON
- Agency: Maldjian Law Group LLC
- Agent John Maldjian
- Main IPC: G06F12/16
- IPC: G06F12/16 ; G06F12/14 ; G06F11/00 ; G06F21/62 ; G06F21/55 ; G06F17/30

Abstract:
System and method to produce an anonymized cohort, members of the cohort having less than a predetermined risk of re-identification. The system includes a user-facing communication interface to receive an anonymized cohort request comprising traits to include in members of the cohort; a data source-facing communication channel to query a data source, to find anonymized records that possess at least some of the requested traits; and a processor programmed to carry out the instructions of: forming a dataset from at least some of the anonymized records; calculating a risk of re-identification of the anonymized records in the dataset based upon the data query; perturbing anonymized records in the dataset that exceed a predetermined risk of re-identification, until the risk of re-identification is not greater than the pre-determined threshold, to produce the anonymized cohort; and providing, via a user-facing communication channel, the anonymized cohort.
Public/Granted literature
- US20170083719A1 ASYMMETRIC JOURNALIST RISK MODEL OF DATA RE-IDENTIFICATION Public/Granted day:2017-03-23
Information query