US 12,225,136 B2
Generating synthetic invisible fingerprints for metadata security and document verification using generative artificial intelligence
Sakshi Bakshi, New Delhi (IN); and Durga Prasad Kutthumolu, Telangana (IN)
Assigned to Bank of America Corporation, Charlotte, NC (US)
Filed by Bank of America Corporation, Charlotte, NC (US)
Filed on Jul. 20, 2022, as Appl. No. 17/869,190.
Prior Publication US 2024/0031159 A1, Jan. 25, 2024
Int. Cl. H04L 29/06 (2006.01); G06N 20/00 (2019.01); H04L 9/00 (2022.01); H04L 9/08 (2006.01); H04L 9/32 (2006.01)
CPC H04L 9/3231 (2013.01) [G06N 20/00 (2019.01); H04L 9/0852 (2013.01); H04L 9/50 (2022.05)] 14 Claims
OG exemplary drawing
 
1. A computing platform comprising:
at least one processor;
a communication interface communicatively coupled to the at least one processor; and
memory storing computer-readable instructions that, when executed by the at least one processor, cause the computing platform to:
capture, via an extended reality capable device of a computing device, first fingerprint information comprising one or more biological fingerprint images of a user;
encode the first fingerprint information in accordance with a quantum key distribution scheme;
store the encoded first fingerprint information in a data store;
generate, based on the encoded first fingerprint information and using a generative artificial intelligence algorithm, second fingerprint information, wherein the second fingerprint information comprises one or more synthetic fingerprint images associated with the one or more biological fingerprint images of a user, wherein the one or more synthetic fingerprint images are invisible to detection during transmission; and
transmit the second fingerprint information for smart contract generation, wherein transmitting the second fingerprint information for smart contract generation comprises transmitting the second fingerprint information as data packets via an Internet-of-things device-to-device communication channel.