US 12,406,085 B2
Segmentation of data in hybrid cloud
Shailendra Moyal, Pune (IN); Sarbajit K. Rakshit, Kolkata (IN); and Venkata Vara Prasad Karri, Visakhapatnam (IN)
Assigned to International Business Machines Corporation, Armonk, NY (US)
Filed by INTERNATIONAL BUSINESS MACHINES CORPORATION, Armonk, NY (US)
Filed on Jan. 31, 2022, as Appl. No. 17/588,772.
Prior Publication US 2023/0244810 A1, Aug. 3, 2023
Int. Cl. G06F 21/62 (2013.01); G06F 18/24 (2023.01); G06N 20/00 (2019.01)
CPC G06F 21/6245 (2013.01) [G06F 18/24765 (2023.01); G06N 20/00 (2019.01)] 20 Claims
OG exemplary drawing
 
1. A computer-implemented process within a computer hardware system associated with a hybrid cloud including a private cloud and a public cloud, the computer-implemented process comprising:
randomly sampling a plurality of data sets of unprocessed data to generate a plurality of random samples respectively associated with each of the plurality of data sets;
pre-processing, using a machine learning engine, the plurality of random samples to identify hidden correlations contained therein;
evaluating the hidden correlations against a confidentiality model to characterize each of the plurality of data sets as to confidentiality;
segmenting the plurality of data sets, by assigning the plurality of data sets to one of the private cloud or the public cloud, based upon the evaluating; and
processing first data sets of the plurality of data sets assigned to the private cloud based upon the segmenting using the private cloud.