# US 12,120,235 B2 · Apparatus and methods for automated credential generation

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- Number: US 12,120,235 B2
- Document ID: US12120235B2
- Status: Granted
- Kind: B2
- Application number: 18/112,824
- Filed: 2023-02-22
- Published: 2024-08-22
- Granted: 2024-10-15
- Earliest claimed: 2023-02-22
- Applicants: Linda Lee Richter
- Inventors: Linda Lee Richter
- Web page: https://patentgrep.com/patent/US12120235B2

## CPC

- H04L 9/3213: {using tickets or tokens, e.g. Kerberos (network architectures or network communication protocols for entities authentication using tickets in a packet data network H04L63/0807)}
- H04L 9/0866: {involving user or device identifiers, e.g. serial number, physical or biometrical information, DNA, hand-signature or measurable physical characteristics}
- H04L 9/3297: {involving time stamps, e.g. generation of time stamps}
- H04L: TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION (arrangements common to telegraphic and telephonic communication H04M)

## Abstract

An apparatus and method for automated credential generation, the apparatus includes at least a processor, and a memory communicatively connected to the at least a processor, wherein the memory containing instructions configuring the at least a processor to receive a data collection, wherein the data collection comprises a plurality of data objects, and wherein the plurality of data objects comprises at least an attribute datum, parse the data collection using a credential validation module to identify and extract the at least an attribute datum associated with the user, classify the data collection to at least a credential datum as a function of the at least an attribute datum using the credential validation module, and generate a verifiable credential as a function of the at least a credential datum.

## Claims

### Claim 1

An apparatus for automated credential generation comprising:
at least a processor; and
a memory communicatively connected to the at least a processor, wherein the memory containing instructions configuring the at least a processor to:
receive a data collection, wherein the data collection comprises a plurality of data objects, wherein the plurality of data objects comprises at least an attribute datum associated with a user;
parse the data collection using a credential validation module;
identify and extract the at least an attribute datum associated with the user based on the parsing of the data collection;
classify the data collection to at least a credential datum as a function of the at least an attribute datum using the credential validation module; and
generate a verifiable credential as a function of the at least a credential datum.

### Claim 2 (depends on 1)

The apparatus of claim 1, wherein classifying the data collection further comprises utilizing a credential machine-learning model configured to correlate the at least an attribute datum to a validated credential class.

### Claim 3 (depends on 2)

The apparatus of claim 2, wherein:
the credential machine-learning model is trained using credential training data; and
the credential training data comprises a plurality of data entries correlating the at least an attribute datum to the validated credential class.

### Claim 4 (depends on 1)

The apparatus of claim 1, wherein the verifiable credential comprises a token representing a validation of the user.

### Claim 5 (depends on 4)

The apparatus of claim 4, wherein the verifiable credential comprises a token representing an access level associated with the user.

### Claim 6 (depends on 5)

The apparatus of claim 5, wherein the verifiable credential comprises a timeframe for the access level associated with the user.

### Claim 7 (depends on 1)

The apparatus of claim 1, wherein the verifiable credential is a tokenized credential generated by a self-executable data structure.

### Claim 8 (depends on 1)

The apparatus of claim 1, wherein the memory contains instructions configuring the at least a processor to store the verifiable credential in an immutable sequential listing.

### Claim 9 (depends on 1)

The apparatus of claim 1, wherein the at least an attribute datum is a datum selected from the group consisting of legal identity, social identity, financial identity, proof of creation, proof of interaction, and proof of personhood.

### Claim 10 (depends on 1)

The apparatus of claim 1, wherein the memory contains instructions configuring the at least a processor to limit access to the verifiable credential from a user community.

### Claim 11

A method for automated credential generation comprising:
receiving, by at least a processor, a data collection, wherein the data collection comprises a plurality of data objects, wherein the plurality of data objects comprises at least an attribute datum associated with a user;
parsing, by the at least a processor, the data collection using a credential validation module;
identifying and extracting, by the at least a processor, the at least an attribute datum associated with the user based on the parsing of the data collection;
classifying, by the at least a processor, the data collection to at least a credential datum as a function of the at least an attribute datum using the credential validation module; and
generating, by the at least a processor, a verifiable credential as a function of the at least a credential datum.

### Claim 12 (depends on 11)

The method of claim 11 further comprises classifying, by the at least a processor, the data collection utilizing a machine-learning model configured to correlate the at least an attribute datum to a validated credential class.

### Claim 13 (depends on 12)

The method of claim 12, wherein the machine-learning model is trained using credential training data; and the credential training data comprises a plurality of data entries correlating the at least an attribute datum to the validated credential class.

### Claim 14 (depends on 11)

The method of claim 11, wherein the verifiable credential comprises a token representing a validation of the user.

### Claim 15 (depends on 14)

The method of claim 14, wherein the verifiable credential comprises a token representing an access level associated with the user.

### Claim 16 (depends on 15)

The method of claim 15, wherein the verifiable credential comprises a timeframe for the access level associated with the user.

### Claim 17 (depends on 11)

The method of claim 11, wherein the verifiable credential is a tokenized credential generated by a self-executable data structure.

### Claim 18 (depends on 11)

The method of claim 11, wherein the verifiable credential is stored in an immutable sequential listing.

### Claim 19 (depends on 11)

The method of claim 11, wherein the at least an attribute datum is a datum selected from the group consisting of legal identity, social identity, financial identity, proof of creation, proof of interaction, and proof of personhood.

### Claim 20 (depends on 11)

The method of claim 11 further comprises limiting, by the at least a processor, the access to the verifiable credential from a user community.