Invention Grant
- Patent Title: Adaptive statistical data de-identification based on evolving data streams
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Application No.: US17370277Application Date: 2021-07-08
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Publication No.: US11762835B2Publication Date: 2023-09-19
- 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
- Main IPC: G06F16/23
- IPC: G06F16/23 ; G06F11/34 ; G06F17/18 ; G06F21/62 ; G06N20/00

Abstract:
A system dynamically changes a data de-identification ruleset applied to a dataset for de-identifying data and comprises at least one processor. The system periodically monitors a dataset derived from data that is de-identified according to a data de-identification ruleset under a set of conditions. The set of conditions for the data de-identification ruleset is evaluated with respect to the monitored data to determine applicability of the data de-identification. One or more rules of the data de-identification ruleset are dynamically changed in response to the evaluation indicating one or more conditions of the set of conditions for the data de-identification ruleset are no longer satisfied. Embodiments of the present invention may further include a method and computer program product for dynamically changing a data de-identification ruleset applied to a dataset for de-identifying data in substantially the same manner described above.
Public/Granted literature
- US20210334261A1 ADAPTIVE STATISTICAL DATA DE-IDENTIFICATION BASED ON EVOLVING DATA STREAMS Public/Granted day:2021-10-28
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