Systems and methods for dynamically generating and mapping unicode for cross-distributed network data transmissions

Patent metadata

Field	Value
Publication number	US-12549196-B2
Application number	US-202418643252-A
Country	US
Kind code	B2
Filing date	Apr 23, 2024
Priority date	Apr 23, 2024
Publication date	Feb 10, 2026
Grant date	Feb 10, 2026

Abstract

Systems, computer program products, and methods are described herein for generating and mapping unicode for cross-distributed network data transmissions. The present disclosure is configured to identify a cross-distributed network data transmission comprising source ledger code; generate a core schema for a destination ledger, wherein the destination ledger is based on data of the cross-distributed network data transmission; generate, by a ledger transformation module, a data dictionary, wherein the ledger transformation module receives ledger code from a large language model (LLM); generate code mapping instructions for the cross-distributed network data transmission based on the core schema for the destination ledger; convert the source ledger code to a unicode; receive, by a receiver schema mapping module, the unicode and the code mapping instructions; and generate, by the receiver schema mapping module, an intermediary ledger comprising the unicode and based on the code mapping instructions.

First claim

What is claimed is:

1 . A system for dynamically generating and mapping Unicode for cross-distributed network data transmissions, the system comprising:
a processing device; a non-transitory storage device containing instructions when executed by the processing device, causes the processing device to perform the steps of:
identify a cross-distributed network data transmission comprising source ledger code;
generate a core schema for a destination ledger, wherein the destination ledger is based on data of the cross-distributed network data transmission;
generate, by a ledger transformation module, a data dictionary, wherein the ledger transformation module receives ledger code from a large language model (LLM);
generate code mapping instructions for the cross-distributed network data transmission based on the core schema for the destination ledger;
convert the source ledger code to a unicode;
generate, by a receiver schema mapping module, an intermediary ledger comprising the unicode and based on the code mapping instructions; and
automatically convert the intermediary ledger to the destination ledger.

2 . The system of claim 1 , wherein the cross-distributed network data transmission is between a source ledger and the destination ledger, and wherein the source ledger and the destination ledger comprise different schemas.

3 . The system of claim 2 , wherein the processing device is further configured to perform the steps of:
determine whether a source ledger schema and a destination ledger schema are compatible.

4 . The system of claim 1 , wherein the processing device is further configured to perform the steps of:
determine whether the cross-distributed network data transmission is an internal data category or an external data category.

5 . The system of claim 4 , wherein in an instance where the cross-distributed network data transmission is the internal data category, and wherein the processing device is further configured to perform the steps of:
perform a local conversion of the source ledger code using the ledger transformation module comprising the code mapping instructions.

6 . The system of claim 1 , wherein the LLM comprises current data associated with a plurality of entity ledgers and different schemas.

7 . The system of claim 1 , wherein the intermediary ledger comprises an intermediary schema and the unicode that can be mapped to a destination schema and destination ledger code.

8 . A computer program product for automatically generating and implementing password rotations using artificial intelligence, the computer program product comprising a non-transitory computer-readable medium comprising code causing an apparatus to:
identify a cross-distributed network data transmission comprising source ledger code; generate a core schema for a destination ledger, wherein the destination ledger is based on data of the cross-distributed network data transmission; generate, by a ledger transformation module, a data dictionary, wherein the ledger transformation module receives ledger code from a large language model (LLM); generate code mapping instructions for the cross-distributed network data transmission based on the core schema for the destination ledger; convert the source ledger code to a unicode; generate, by a receiver schema mapping module, an intermediary ledger comprising the unicode and based on the code mapping instructions; and automatically convert the intermediary ledger to the destination ledger.

9 . The computer program product of claim 8 , wherein the cross-distributed network data transmission is between a source ledger and the destination ledger, and wherein the source ledger and the destination ledger comprise different schemas.

10 . The computer program product of claim 9 , wherein the code further causes the apparatus to
determine whether a source ledger schema and a destination ledger schema are compatible.

11 . The computer program product of claim 8 , wherein the code further causes the apparatus to:
determine whether the cross-distributed network data transmission is an internal data category or an external data category.

12 . The computer program product of claim 11 , wherein in an instance where the cross-distributed network data transmission is the internal data category, and wherein the processing device is further configured to perform the steps of:
perform a local conversion of the source ledger code using the ledger transformation module comprising the code mapping instructions.

13 . The computer program product of claim 8 , wherein the LLM comprises current data associated with a plurality of entity ledgers and different schemas.

14 . The computer program product of claim 8 , wherein the intermediary ledger comprises an intermediary schema and the unicode that can be mapped to a destination schema and destination ledger code.

15 . A computer-implemented method for automatically generating and implementing password rotations using artificial intelligence, the computer-implemented method comprising:
identifying a cross-distributed network data transmission comprising source ledger code; generating a core schema for a destination ledger, wherein the destination ledger is based on data of the cross-distributed network data transmission; generating, by a ledger transformation module, a data dictionary, wherein the ledger transformation module receives ledger code from a large language model (LLM); generating code mapping instructions for the cross-distributed network data transmission based on the core schema for the destination ledger; convert the source ledger code to a unicode; generate, by a receiver schema mapping module, an intermediary ledger comprising the unicode and based on the code mapping instructions; and automatically converting the intermediary ledger to the destination ledger.

16 . The computer-implemented method of claim 15 , wherein the cross-distributed network data transmission is between a source ledger and the destination ledger, and wherein the source ledger and the destination ledger comprise different schemas.

17 . The computer-implemented method of claim 16 , further comprising:
determining whether a source ledger schema and a destination ledger schema are compatible.

18 . The computer-implemented method of claim 15 , further comprising:
determining whether the data transmission exchange is an internal data category or an external data category.

19 . The computer-implemented method of claim 18 , wherein in an instance where the cross-distributed network data transmission is the internal data category, and wherein the computer-implemented method further comprises:
performing a local conversion of the source ledger code using the ledger transformation module comprising the code mapping instructions.

20 . The computer-implemented method of claim 15 , wherein the LLM comprises current data associated with a plurality of entity ledgers and different schemas.

Assignees

• Bank Of America

Inventors

• Chauhan Sandeep Kumar
• Arora Saurabh

Classifications

• H03M7/705 Primary

  Unicode · CPC title

• H03M7/3066 Primary

  by means of a mask or a bit-map · CPC title