US 12,010,106 B2
Preventing fraud in aggregated network measurements
Gang Wang, Frederick, MD (US); and Marcel M. Moti Yung, New York, NY (US)
Assigned to Google LLC, Mountain View, CA (US)
Filed by Google LLC, Mountain View, CA (US)
Filed on Jun. 26, 2023, as Appl. No. 18/341,353.
Application 18/341,353 is a continuation of application No. 17/419,060, granted, now 11,736,459, previously published as PCT/US2020/064498, filed on Dec. 11, 2020.
Claims priority of application No. 272126 (IL), filed on Jan. 19, 2020.
Prior Publication US 2023/0421544 A1, Dec. 28, 2023
Int. Cl. H04L 29/06 (2006.01); H04L 9/08 (2006.01); H04L 9/30 (2006.01); H04L 9/32 (2006.01); H04L 9/40 (2022.01)
CPC H04L 63/0442 (2013.01) [H04L 9/0833 (2013.01); H04L 9/085 (2013.01); H04L 9/3093 (2013.01); H04L 9/3257 (2013.01)] 18 Claims
OG exemplary drawing
 
1. A computer-implemented method comprising:
obtaining network data that includes blindly signed impression data for a presentation of a digital component by an application of a client device, the obtaining comprising:
sending blinded impression data for the presentation of the digital component to a fraud detection system; and
receiving the blindly signed impression data from the fraud detection system, wherein the fraud detection system is configured to digitally sign the blinded impression data to generate the blindly signed impression data;
generating, based at least on the network data, a group key that defines a secret for encrypting the network data;
generating, based at least on data related to the application, a group member key comprising a share of the secret; and
sending the group member key to an aggregation system configured to decrypt the network data using respective group member keys received from multiple client devices.