Granted Patent B2

US 12,225,136 · App. 17/869,190 · Granted Feb 11, 2025

Inventors: Sakshi Bakshi (New Delhi, IN); Durga Prasad Kutthumolu (Telangana, IN)

Assignee: Bank of America Corporation

H04L9/3231G06N20/00H04L9/0852H04L9/50

Abstract

Claims (37)

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.

2. The computing platform of claim 1 , wherein the memory stores additional computer-readable instructions that, when executed by the at least one processor, cause the computing platform to:

cause generation of a smart contract on a blockchain based on the second fingerprint information.

3. The computing platform of claim 1 , wherein the generative artificial intelligence algorithm comprises an unsupervised learning algorithm.

4. The computing platform of claim 1 , wherein capturing the first fingerprint information comprises scanning the one or more biological fingerprint images of the user in an extended immersive environment that simulates physical presence.

5. The computing platform of claim 1 , wherein storing the encoded first fingerprint information in the data store comprises storing the encoded first fingerprint information based on one or more predefined indexed categories.

6. A method comprising:

at a computing platform comprising at least one processor, a communication interface, and memory:

capturing, by the at least one processor, via an extended reality capable device of a computing device, first fingerprint information comprising one or more biological fingerprint images of a user;

encoding, by the at least one processor, the first fingerprint information in accordance with a quantum key distribution scheme;

storing, by the at least one processor, the encoded first fingerprint information in a data store;

generating, by the at least one processor, 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

transmitting, by the at least one processor, 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.

7. The method of claim 6 , further comprising:

causing, by the at least one processor, generation of a smart contract on a blockchain based on the second fingerprint information.

8. The method of claim 6 , wherein the generative artificial intelligence algorithm comprises an unsupervised learning algorithm.

9. The method of claim 6 , wherein capturing the first fingerprint information comprises scanning the one or more biological fingerprint images of the user in an extended immersive environment that simulates physical presence.

10. The method of claim 6 , wherein storing the encoded first fingerprint information in the data store comprises storing the encoded first fingerprint information based on one or more predefined indexed categories.

11. One or more non-transitory computer-readable media storing instructions that, when executed by a computing platform comprising at least one processor, a communication interface, and memory, 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.

12. The one or more non-transitory computer-readable media of claim 11 , further including instructions that, when executed, cause the computing platform to:

cause generation of a smart contract on a blockchain based on the second fingerprint information.

13. The one or more non-transitory computer-readable media of claim 11 , wherein the generative artificial intelligence algorithm comprises an unsupervised learning algorithm.

14. The one or more non-transitory computer-readable media of claim 11 ,

wherein capturing the first fingerprint information comprises scanning the one or more biological fingerprint images of the user in an extended immersive environment that simulates physical presence.

Assignments (1)

Continuity (1)

References Cited (33)