US 12,348,542 B2
Techniques for identity data characterization for data protection
Nathan Daniel Monnig, Boise, ID (US); and Joshua Michael Johnston, Boise, ID (US)
Assigned to KOUNT INC., Boise, ID (US)
Appl. No. 18/007,268
Filed by KOUNT INC., Boise, ID (US)
PCT Filed Jul. 29, 2021, PCT No. PCT/US2021/043782
§ 371(c)(1), (2) Date Jan. 27, 2023,
PCT Pub. No. WO2022/031523, PCT Pub. Date Feb. 10, 2022.
Claims priority of provisional application 63/060,366, filed on Aug. 3, 2020.
Prior Publication US 2023/0291756 A1, Sep. 14, 2023
Int. Cl. H04L 9/40 (2022.01)
CPC H04L 63/1425 (2013.01) [H04L 63/102 (2013.01); H04L 63/105 (2013.01)] 19 Claims
OG exemplary drawing
 
1. A computer-implemented method comprising:
receiving, by a computing system from a computing device, a first attribute and a request for associated identity data;
responsive to the request, generating, by the computing system, an identity graph comprising a plurality of attribute nodes corresponding to a respective plurality of attributes and a plurality of online interaction nodes corresponding to a respective plurality of online interactions, the attribute nodes including an attribute node corresponding to the first attribute;
based on the identity graph, correlating, by the computing system, at least a subset of the plurality of online interactions and at least a subset of the plurality of attributes with a particular entity, wherein the correlating comprises executing a diffusion process on the identity graph to compute a probability distribution for each of the online interactions; and
generating, by the computing system based on the correlated online interactions and the correlated attributes, a report indicating an identity of the particular entity and a behavior of the particular entity.