US 12,255,903 B2
Identifying fraudulent requests for content
Gaurav Chaula, New Delhi (IN); and Kavind Aggarwal, Delhi (IN)
Assigned to Yahoo Ad Tech LLC, New York, NY (US)
Filed by Yahoo Ad Tech LLC, New York, NY (US)
Filed on Jan. 14, 2024, as Appl. No. 18/412,556.
Application 18/412,556 is a continuation of application No. 17/856,074, filed on Jul. 1, 2022, granted, now 11,876,812.
Application 17/856,074 is a continuation of application No. 16/354,289, filed on Mar. 15, 2019, granted, now 11,381,579, issued on Jul. 5, 2022.
Prior Publication US 2024/0154978 A1, May 9, 2024
This patent is subject to a terminal disclaimer.
Int. Cl. H04L 9/40 (2022.01)
CPC H04L 63/1416 (2013.01) 20 Claims
OG exemplary drawing
 
1. A method, comprising:
receiving a request for content from a device;
determining, based upon the request for content, an internet resource associated with the request for content;
analyzing a user profile database based upon the request for content to identify a set of user profiles associated with one or more different users than the device;
generating a relevance score, associated with the request for content, corresponding to a probability that a first user associated with the device accesses the internet resource, the generating the relevance score based upon the set of user profiles associated with one or more different users than the device;
determining a fraud probability, corresponding to a probability that the request for content was not transmitted as a result of malicious activity to control the device to transmit the request for content without the first user associated with the device knowing, based upon the relevance score corresponding to the probability that the first user accesses the internet resource; and
performing one or more actions based upon the fraud probability.