Invention Grant
- Patent Title: Identification of pseudonymized data within data sources
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Application No.: US15800405Application Date: 2017-11-01
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Publication No.: US10657287B2Publication Date: 2020-05-19
- Inventor: Pedro Barbas , Austin Clifford , Konrad Emanowicz , Patrick G. O'Sullivan
- 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: Winstead PC
- Main IPC: G06F21/62
- IPC: G06F21/62 ; H04L9/00

Abstract:
A computer-implemented method, computer program product and system for identifying pseudonymized data within data sources. One or more data repositories within one or more of the data sources are selected. One or more privacy data models are provided, where each of the privacy data models includes pattern(s) and/or parameter(s). One or more of the one or more privacy data models are selected. Data identification information is generated, where the data identification information indicates a presence or absence of pseudonymized data and of non-pseudonymized data within the one or more of the data sources. The data identification information is generated utilizing the pattern(s) and/or the parameter(s) to determine pseudonymized data.
Public/Granted literature
- US20190130132A1 RUNTIME CONTROL OF AUTOMATION ACCURACY USING ADJUSTABLE THRESHOLDS Public/Granted day:2019-05-02
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