US 12,468,852 B2
Data anonymity protector
Martin Gleize, Dublin (IE); Pierpaolo Tommasi, Dublin (IE); Yufang Hou, Dublin (IE); and Debasis Ganguly, Dublin (IE)
Assigned to International Business Machines Corporation, Armonk, NY (US)
Filed by INTERNATIONAL BUSINESS MACHINES CORPORATION, Armonk, NY (US)
Filed on Mar. 7, 2022, as Appl. No. 17/653,817.
Prior Publication US 2023/0281340 A1, Sep. 7, 2023
Int. Cl. G06F 21/62 (2013.01); G06F 21/31 (2013.01); G06N 20/00 (2019.01)
CPC G06F 21/6263 (2013.01) [G06F 21/31 (2013.01); G06N 20/00 (2019.01)] 18 Claims
OG exemplary drawing
 
1. A computer-implemented method comprising:
receiving, by one or more processors, credentials to access a user account for a publicly available social media platform;
parsing, by one or more processors, the user account for the publicly available social media platform, the parsing comprising:
using, by one or more processors, the credentials to access the user account for the publicly available social media platform; and
extracting, by one or more processors, information from the publicly available social media platform using the user account;
responsive to parsing the user account, identifying, by one or more processors, selected portions of data of the information previously posted to the publicly available social media platform as having a potential for revealing an identity of a user;
providing, by one or more processors, an assessment indicating a current status of an amount of data currently exposing the identity of the user by analyzing user profile information posted to the publicly available social media platform; and
transforming, by one or more processors, the selected portions of the data into anonymous data by, subsequent to accessing the user account using the credentials, editing and applying a data corrective operation to the selected portions of the data previously posted to the publicly available social media platform that reduces further exposure of the identity of the user, wherein transforming the selected portions of data into anonymous data comprises modifying the data such that the anonymous data is a more generic version of the data, the modifying the data comprising swapping user country origin with ability to speak a language typically associated with the country.