US 12,346,413 B2
Streaming fraud detection using blockchain
Pouria Assadipour, Burnaby (CA); Evan Martin, Port Moody (CA); Andrew Batey, Vancouver (CA); and Morgan Hayduk, Toronto (CA)
Assigned to Beatdapp Software Inc.
Filed by Beatdapp Software Inc., Vancouver (CA)
Filed on Jun. 3, 2022, as Appl. No. 17/805,404.
Claims priority of provisional application 63/196,600, filed on Jun. 3, 2021.
Prior Publication US 2022/0391474 A1, Dec. 8, 2022
Int. Cl. G06F 21/10 (2013.01); G06N 20/20 (2019.01); H04L 9/00 (2022.01); H04L 9/32 (2006.01)
CPC G06F 21/10 (2013.01) [G06N 20/20 (2019.01); H04L 9/3218 (2013.01); H04L 9/50 (2022.05)] 20 Claims
OG exemplary drawing
 
1. A system for detecting fraudulent streaming activity, the system comprising:
a processor; and
memory, the memory storing instructions to cause a processor to execute a method, the method comprising:
extracting streaming data from a blockchain, the streaming data corresponding to play count activity for streaming media;
transforming the extracted streaming data into a format ingestible by a trained machine learning model;
inputting the transformed streaming data into the machine learning model, wherein the machine learning model comprises a trend pool that allows analysis of streaming patterns across multiple streaming platforms to identify discrepancies between the trends across platforms to suggest streaming fraud; and
determining that a particular stream is potentially fraudulent.