US 12,124,610 B2
Data anonymization views
Momen Oqaily, Montreal (CA); Yosr Jarraya, Montreal (CA); Mengyuan Zhang, Kowloon (CN); Makan Pourzandi, Montreal (CA); Lingyu Wang, Montreal (CA); and Mourad Debbabi, Montreal (CA)
Assigned to Telefonaktiebolaget LM Ericsson (publ), Stockholm (SE)
Appl. No. 17/607,697
Filed by TELEFONAKTIEBOLAGET LM ERICSSON (PUBL), Stockholm (SE)
PCT Filed Apr. 29, 2020, PCT No. PCT/IB2020/054045
§ 371(c)(1), (2) Date Oct. 29, 2021,
PCT Pub. No. WO2020/222140, PCT Pub. Date Nov. 5, 2020.
Claims priority of provisional application 62/840,036, filed on Apr. 29, 2019.
Prior Publication US 2022/0215127 A1, Jul. 7, 2022
Int. Cl. G06F 21/62 (2013.01); H04L 9/40 (2022.01)
CPC G06F 21/6254 (2013.01) [H04L 63/0421 (2013.01)] 20 Claims
OG exemplary drawing
 
1. A method performed by a network node, the method comprising:
receiving a data set comprising a plurality of data attributes each having an associated attribute type;
obtaining privacy constraints associated with each of the plurality of data attributes;
determining a subset of available anonymization mechanisms for each of the plurality of data attributes in accordance with its associated privacy constraint and its associated attribute type;
obtaining utility requirements associated with one or more of the data attributes;
selecting a respective anonymization mechanism for each of the plurality of data attributes from its corresponding subset in accordance with its associated utility requirement; and
anonymizing the data set by applying each of the selected anonymization mechanisms to its corresponding data attribute.