US 11,748,246 B2
Crowd-sourced QA with trusted compute model
Shelley Lambert, Ottawa (CA); Timothy Peter Ellison, Hampshire (GB); Haechul Shin, Durham, NC (US); Gennaro A. Cuomo, Durham, NC (US); Barry Mosakowski, Raleigh, NC (US); and Mark Anthony Parzygnat, Raleigh, NC (US)
Assigned to International Business Machines Corporation, Armonk, NY (US)
Filed by International Business Machines Corporation, Armonk, NY (US)
Filed on Apr. 28, 2021, as Appl. No. 17/242,711.
Prior Publication US 2022/0353076 A1, Nov. 3, 2022
Int. Cl. G06F 11/36 (2006.01); H04L 9/32 (2006.01)
CPC G06F 11/3692 (2013.01) [G06F 11/3664 (2013.01); H04L 9/3239 (2013.01)] 17 Claims
OG exemplary drawing
 
1. A method comprising:
collecting a plurality of distributed test results from a plurality of users, wherein at least one of the plurality of users is an untrusted user;
selecting one of the plurality of distributed test results corresponding to a selected one of the plurality of users;
determining a verification level of the selected user;
in response to determining that the selected user requires verification, verifying the selected user by verifying a token sent with the selected distributed test results;
in response to verifying the selected user, verifying the selected distributed test results;
in response to verifying the selected distributed test results, aggregating the selected distributed tests results based on both a system under test ID and a test ID;
aggregating the plurality of distributed test results in response to determining that each one of the plurality of distributed test results corresponds to a same system under test; and
presenting the aggregated test results as a trusted test result.