Title:
METHOD FOR DE-IDENTIFYING BIG DATA
Document Type and Number:
WIPO Patent Application WO/2017/213281
Kind Code:
A1
Abstract:
The present invention relates to a method for de-identifying big data, which can freely distribute the big data to an external system without concern for leakage of personal information, and can utilize the big data for various purposes by associating data generated from a separate environment with the big data. According to the present invention, the method generates de-identified big data for distribution purpose by selecting a field to be used as a reference of statistical analysis and a field to be statistically analyzed from among various fields included in the big data, wherein a plurality of original records is abstracted into a single record or a numerical field value is abstracted as an average value of approximate numerical values, whereby the big data has a field value different from the original record value and thus can fundamentally prevent back tracking through specific personal information of an individual and a combination thereof while maintain its original intention as data for statistical analysis.
Inventors:
LEE WON SUK (KR)
Application Number:
PCT/KR2016/006206
Publication Date:
December 14, 2017
Filing Date:
June 10, 2016
Export Citation:
Assignee:
GRIZZLY CO LTD (KR)
International Classes:
G06F21/62; G06F17/30
Foreign References:
| KR101463974B1 | 2014-11-26 | |||
| KR20120022778A | 2012-03-12 | |||
| KR20090077659A | 2009-07-15 | |||
| JP2005049943A | 2005-02-24 | |||
| KR20100054821A | 2010-05-25 |
Attorney, Agent or Firm:
WELL PATENT LAW FIRM (KR)
Download PDF: