US 12,483,415 B2
Identifying deep fake content via smart devices
Avesta Hojjati, Austin, TX (US)
Assigned to DigiCert, Inc., Lehi, UT (US)
Filed by DigiCert, Inc., Lehi, UT (US)
Filed on Mar. 20, 2023, as Appl. No. 18/186,664.
Application 18/186,664 is a continuation in part of application No. 17/660,130, filed on Apr. 21, 2022, granted, now 12,088,739.
Prior Publication US 2023/0344639 A1, Oct. 26, 2023
Int. Cl. H04L 29/00 (2006.01); G06V 10/26 (2022.01); G06V 20/58 (2022.01); H04L 9/32 (2006.01)
CPC H04L 9/3236 (2013.01) [G06V 10/26 (2022.01); G06V 20/582 (2022.01); H04L 9/3247 (2013.01); H04L 9/3263 (2013.01)] 18 Claims
OG exemplary drawing
 
1. A method of identifying deep fake content, the method comprising steps of:
creating a hidden object using certificates from entities involved with creation of content, wherein the hidden object is a has generated from certificates associated with the entities involved with creation of the content;
receiving content at a smart device;
determining whether the content includes the hidden object therein;
responsive to the content including the hidden object, determining a hash in the hidden object;
determining a local hash for the content by the smart device; and
determining legitimacy of the content based on the hash in the hidden object and the local hash, wherein determining legitimacy includes identifying deepfake content within the content based on the hash in the hidden object and the local hash.