US 12,261,882 B2
Identifying fraudulent requests for content
Robert Jason Harris, Urbana, IL (US); Jaime Morales, Jr., Urbana, IL (US); Ruichen Wang, Champaign, IL (US); Helen W Xie, Cambridge, MA (US); and Jian Tian, Champaign, IL (US)
Assigned to Yahoo Ad Tech LLC, New York, NY (US)
Filed by Yahoo Ad Tech LLC, Wilmington, DE (US)
Filed on Nov. 14, 2022, as Appl. No. 17/986,103.
Application 17/986,103 is a continuation of application No. 16/426,159, filed on May 30, 2019, granted, now 11,503,071.
Prior Publication US 2023/0069970 A1, Mar. 9, 2023
This patent is subject to a terminal disclaimer.
Int. Cl. H04L 9/40 (2022.01); G06F 21/57 (2013.01)
CPC H04L 63/1483 (2013.01) [G06F 21/577 (2013.01)] 20 Claims
OG exemplary drawing
 
1. A method, comprising:
receiving a first request for content, associated with a first client device, and a first set of request information associated with the first request for content;
transmitting a first content item to the first client device responsive to receiving the first request for content;
responsive to transmitting the first content item to the first client device in response to receiving the first request, receiving, from the first client device, a first set of client information associated with the first client device;
comparing (i) the first set of client information received from the first client device in association with the first request with (ii) the first set of request information received from the first client device in association with the first request to identify one or more inconsistencies between the first set of client information from the first client device and the first set of request information from the first client device;
determining, based upon the one or more inconsistencies, a first fraudulence label associated with the first request for content;
determining, based upon the first fraudulence label, fraud detection information; and
determining, based upon one or more request information characteristics determined using the fraud detection information, a second fraudulence label associated with a second request for content.