US 11,863,575 B2
Suspicious group detection
Neil Shah, Los Angeles, CA (US); and Hamed Nilforoshan-Dardashti, Wellesley, MA (US)
Assigned to Snap Inc., Santa Monica, CA (US)
Filed by Snap Inc., Santa Monica, CA (US)
Filed on Apr. 21, 2022, as Appl. No. 17/726,435.
Application 17/726,435 is a continuation of application No. 16/360,972, filed on Mar. 21, 2019, granted, now 11,349,857, issued on May 31, 2022.
Prior Publication US 2022/0263847 A1, Aug. 18, 2022
This patent is subject to a terminal disclaimer.
Int. Cl. H04L 9/40 (2022.01); G06F 16/23 (2019.01); G06F 16/901 (2019.01)
CPC H04L 63/1425 (2013.01) [G06F 16/2379 (2019.01); G06F 16/9024 (2019.01)] 20 Claims
OG exemplary drawing
 
1. A method for use in identifying suspicious network entity groups from a dataset of entity information in a multi-view graph, each node of the multi-view graph corresponding to a network entity identifier, each view of the multi-view graph corresponding to an attribute identifier, the method comprising:
selecting, by a processor, from the multi-view graph, a multi-view sub-graph corresponding to a subset of network entities and a subset of views;
updating, by the processor, the selected multi-view sub-graph by adding or subtracting at least one of an entity to the subset of network entities or a view to the subset of views;
determining, by the processor, a suspiciousness value for the updated multi-view subgraph; and
identifying, by the processor, the subset of network entities for the selected multi-view sub-graph as a suspicious network entity group if the suspiciousness value for the updated multi-view sub-graph does not exceed a previously determined suspiciousness value for the selected multi-view sub-graph.