APPARATUS AND METHODS FOR VERIFYING LOST USER DATA
Aspects relate to apparatuses and methods for using machine learning to verify lost user data in a resource data storage system. An exemplary apparatus includes a processor and a memory communicatively connected to the processor, the memory containing instructions configuring the processor to identify a plurality of lost user data stored in a resource data storage system potentially associated with a particular user of a plurality of users, verify, using a recovery program, the plurality of lost user data potentially associated with the particular user and link, as a function of the verification, the plurality of lost user data to the particular user.
1 . An apparatus for storing lost user data, the apparatus comprising:
at least a processor; and
a memory communicatively connected to the processor, the memory containing instructions configuring the at least a processor to:
divide a plurality of lost user data potentially associated with a particular user of a plurality of users into a plurality of user identifier subsets;
associate each of the plurality of user identifier subsets with a public key; and
store the plurality of lost user data on an immutable sequential listing.
2 . The apparatus of claim 1 , wherein:
each of the plurality of user identifier subsets is matched with the particular user; and
each of the plurality of user identifier subsets is accessed using a private key associated with the public key.
3 . The apparatus of claim 1 , wherein dividing the plurality of lost user data into user identifier subsets comprises using a machine-learning process to output data bins of matched lost user data to the particular user of the plurality of users.
4 . The apparatus of claim 1 , wherein the memory contains instructions further configuring the at least a processor to run as a full node to monitor the creation of a block of an immutable sequential listing to identify lost user data.
5 . The apparatus of claim 1 , wherein the plurality of user identifier subsets comprises immutable sequential listing addresses.
6 . The apparatus of claim 1 , wherein the memory contains instructions further configuring the at least a processor to match the lost user data with the particular user, wherein matching comprises potentially associating the plurality of lost user data with the particular user.
7 . The apparatus of claim 6 , wherein matching the lost user data with the particular user comprises training a classification algorithm using historical data of the plurality of users, wherein the historical data may be compared to the plurality of lost user data.
8 . The apparatus of claim 1 , wherein the plurality of lost user data comprises job candidate data.
9 . The apparatus of claim 1 , wherein the immutable sequential listing includes a cryptographic accumulator.
10 . The apparatus of claim 1 , wherein the memory contains instructions further configuring the at least a processor to verify the plurality of lost user data, the verifying comprising:
sending an electronic request to the particular user; and
receiving a verification from the particular user using public-key cryptography in response to the particular user receiving the electronic request.
11 . A method for verifying lost user data in a resource data storage system, the method comprising:
identifying, by a processor, a plurality of lost user data stored in a resource data storage system that is stored on an immutable sequential listing, wherein identifying the plurality of lost user data comprises dividing the plurality of lost user data into a plurality of user identifier subsets;
verifying, by a processor using a recovery program, the plurality of lost user data; and
linking, by a processor, as a function of the verification, the plurality of lost user data to a particular user of a plurality of users.
12 . The method of claim 11 , wherein:
each of the plurality of user identifier subsets is matched with the particular user; and
each of the plurality of user identifier subsets is accessed using a private key associated with the public key.
13 . The method of claim 11 , wherein dividing the plurality of lost user data into user identifier subsets comprises using a machine-learning process to output data bins of matched lost user data to the particular user of the plurality of users.
14 . The method of claim 11 , further comprising running, by the processor, as a full node to monitor the creation of a block of an immutable sequential listing to identify lost user data.
15 . The method of claim 11 , wherein the plurality of user identifier subsets comprises immutable sequential listing addresses.
16 . The method of claim 11 , further comprising matching, by the processor, the lost user data with the particular user, wherein matching comprises potentially associating the plurality of lost user data with the particular user.
17 . The method of claim 16 , wherein matching the lost user data with the particular user comprises training a classification algorithm using historical data of the plurality of users, wherein the historical data may be compared to the plurality of lost user data.
18 . The method of claim 11 , wherein the plurality of lost user data comprises job candidate data.
19 . The method of claim 11 , wherein the immutable sequential listing includes a cryptographic accumulator.
20 . The apparatus of claim 1 , verifying, by the processor, the plurality of lost user data, the verifying comprising:
sending an electronic request to the particular user; and
receiving a verification from the particular user using public-key cryptography in response to the particular user receiving the electronic request.