US 12,081,385 B2
Topology-homogeneity for enriching event patterns in artificial intelligence operations
Mudhakar Srivatsa, White Plains, NY (US); Jonathan Ian Settle, Dursley (GB); Satishkumar Sadagopan, Leawood, KS (US); Mathews Thomas, Flower Mound, TX (US); and Utpal Mangla, Toronto (CA)
Assigned to INTERNATIONAL BUSINESS MACHINES CORPORATION, Armonk, NY (US)
Filed by INTERNATIONAL BUSINESS MACHINES CORPORATION, Armonk, NY (US)
Filed on Oct. 14, 2022, as Appl. No. 18/046,900.
Prior Publication US 2024/0129178 A1, Apr. 18, 2024
Int. Cl. H04L 41/0631 (2022.01); H04L 41/0604 (2022.01); H04L 41/12 (2022.01)
CPC H04L 41/0631 (2013.01) [H04L 41/0627 (2013.01); H04L 41/12 (2013.01)] 20 Claims
OG exemplary drawing
 
1. A method for determining a correlation of one or more events occurring in a plurality of nodes of a network, comprising:
accessing, by a computing device, address information associated with each of the plurality of nodes on the network;
accessing, by the computing device, one or more event IDs associated with one or more events occurring on the plurality of nodes;
creating an association, by the computing device, between the one or more events occurring on the plurality of nodes with related events occurring on others of the plurality of nodes, the association including the address information;
computing a topology homogeneity score on the one or more event IDs, based on a topological relationship between the plurality of nodes;
identifying rules of a node of the plurality of nodes to be transferrable to another node of the plurality of nodes based on the topology homogeneity score; and
reducing a number of false positives in an alert based on the rules.