Invention Grant
- Patent Title: Iterative execution of data de-identification processes
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Application No.: US15905112Application Date: 2018-02-26
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Publication No.: US11036884B2Publication Date: 2021-06-15
- Inventor: Aris Gkoulalas-Divanis
- 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: Edell, Shapiro & Finnan, LLC
- Agent Will Stock
- Main IPC: G06F21/62
- IPC: G06F21/62 ; G06F21/60

Abstract:
A computer system de-identifies data by selecting one or more attributes of a dataset and determining a set of data de-identification techniques associated with each attribute. Each de-identification technique is evaluated with respect to an impact on data privacy and an impact on data utility based on a series of metrics, and a data de-identification technique is recommended for each attribute based on the evaluation. The dataset is de-identified by applying the de-identification technique that is recommended for each attribute. Embodiments of the present invention further include a method and program product for de-identifying data in substantially the same manner described above.
Public/Granted literature
- US20190266353A1 ITERATIVE EXECUTION OF DATA DE-IDENTIFICATION PROCESSES Public/Granted day:2019-08-29
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