Automated system for intelligent error correction within an electronic blockchain ledger

Patent metadata

Field	Value
Publication number	US-2022012120-A1
Application number	US-202117483039-A
Country	US
Kind code	A1
Filing date	Sep 23, 2021
Priority date	Apr 26, 2019
Publication date	Jan 13, 2022
Grant date	—

Abstract

A system for automated and intelligent error correction within an electronic blockchain ledger is provided. The system may analyze unformatted/unstructured blockchain event logs using machine learning algorithms in order to identify and label the errors within the event logs. Based on the identified errors, the system may use predictive analysis in conjunction with error or rule repositories and/or machine learning to identify potential solutions to the identified errors. Once the potential solutions have been identified, the system may automatically attempt to rectify the blockchain transaction errors using the potential solutions. The system may further comprise trend/correlation analyses and reporting functions regarding various metrics and may output said metrics in various accessible formats.

First claim

What is claimed is:

1 . A system for automatic error correction within a blockchain ledger system, the system comprising:
a memory device with computer-readable program code stored thereon; a communication device; and a processing device operatively coupled to the memory device and the communication device, wherein the processing device is configured to execute the computer-readable program code to:
receive, from the blockchain ledger system, a blockchain event log, wherein the blockchain event log comprises a blockchain error;
identify the blockchain error from the blockchain event log;
based on identifying the blockchain error, perform predictive error analysis of the blockchain error;
based on the predictive error analysis, perform automatic error correction of a process flow of the blockchain ledger system; and
perform comparative analysis between the blockchain error and the process flow of the blockchain ledger system.

2 . The system according to claim 1 , wherein identifying the blockchain error from the blockchain event log comprises performing text analysis of the blockchain event log, wherein the text analysis comprises extracting text associated with the blockchain error from the blockchain event log.

3 . The system according to claim 1 , wherein identifying the blockchain error from the blockchain event log comprises performing machine learning analysis of the blockchain event log via a deep neural network algorithm.

4 . The system according to claim 1 , wherein performing the predictive error analysis of the blockchain error comprises:
analyzing a blockchain error using an error repository; and detecting a match between the blockchain error and a corresponding entry within the error repository, wherein the corresponding entry comprises error resolution code, wherein performing automatic error correction of the process flow comprises executing the error resolution code.

5 . The system according to claim 1 , wherein performing the predictive error analysis of the blockchain error comprises:
detecting an error component from the blockchain error via a text analysis algorithm; and based on detecting the error component, determining a set of solution rules, wherein performing automatic error correction of the process flow comprises executing the set of solution rules.

6 . The system according to claim 1 , wherein performing the predictive error analysis of the blockchain error comprises:
detecting an error component from the blockchain error via a machine learning algorithm; and based on detecting the error component, determining a set of solution rules, wherein performing automatic error correction of the process flow comprises executing the set of solution rules.

7 . The system according to claim 1 further comprising generating an error report based on the predictive error analysis, wherein the error report comprises one of error frequency, error classification, or error source.

8 . The system according to claim 1 , wherein performing comparative analysis comprising determining metrics related to at least one of: a frequency of certain error classifications, blockchain errors that require extended time to resolve, effects of an error on the blockchain process flow, and/or error trends.

9 . The system according to claim 1 , wherein the blockchain error is a connection failure error.

10 . A computer program product for automatic error correction within a blockchain ledger system, the computer program product comprising at least one non-transitory computer readable medium having computer-readable program code portions embodied therein, the computer-readable program code portions comprising executable code portions for:
receiving, from the blockchain ledger system, a blockchain event log, wherein the blockchain event log comprises a blockchain error; identifying the blockchain error from the blockchain event log; based on identifying the blockchain error, performing predictive error analysis of the blockchain error; based on the predictive error analysis, performing automatic error correction of a process flow of the blockchain ledger system; and performing comparative analysis between the blockchain error and the process flow of the blockchain ledger system.

11 . The computer program product of claim 10 , wherein identifying the blockchain error from the blockchain event log comprises performing text analysis of the blockchain event log, wherein the text analysis comprises extracting text associated with the blockchain error from the blockchain event log.

12 . The computer program product of claim 10 , wherein identifying the blockchain error from the blockchain event log comprises performing machine learning analysis of the blockchain event log via a deep neural network algorithm.

13 . The computer program product of claim 10 , wherein performing the predictive error analysis of the blockchain error comprises:
analyzing a blockchain error using an error repository; and detecting a match between the blockchain error and a corresponding entry within the error repository, wherein the corresponding entry comprises error resolution code, wherein performing automatic error correction of the process flow comprises executing the error resolution code.

14 . The computer program product of claim 10 , wherein performing the predictive error analysis of the blockchain error comprises:
detecting an error component from the blockchain error via a text analysis algorithm; and based on detecting the error component, determining a set of solution rules, wherein performing automatic error correction of the process flow comprises executing the set of solution rules.

15 . The computer program product of claim 10 , wherein performing the predictive error analysis of the blockchain error comprises:
detecting an error component from the blockchain error via a machine learning algorithm; and based on detecting the error component, determining a set of solution rules, wherein performing automatic error correction of the process flow comprises executing the set of solution rules.

16 . A computer-implemented method for automatic error correction within a blockchain ledger system, the method comprising:
receiving, from the blockchain ledger system, a blockchain event log, wherein the blockchain event log comprises a blockchain error; identifying the blockchain error from the blockchain event log; based on identifying the blockchain error, performing predictive error analysis of the blockchain error; based on the predictive error analysis, performing automatic error correction of a process flow of the blockchain ledger system; and performing comparative analysis between the blockchain error and the process flow of the blockchain ledger system.

17 . The computer-implemented method of claim 16 , wherein identifying the blockchain error from the blockchain event log comprises performing text analysis of the blockchain event log, wherein the text analysis comprises extracting text associated with the blockchain error from the blockchain event log.

18 . The computer-implemented method of claim 16 , wherein identifying the blockchain error from the blockchain event log comprises performing machine learning analysis of the blockchain event log via a deep neural network algorithm.

19 . The computer-implemented method of claim 16 , wherein performing the predictive error analysis of the blockchain error comprises:
analyzing a blockchain error using an error repository; and detecting a

Assignees

• Bank Of America

Inventors

• Safary Jigesh Rajendra
• Mamadapur Krishna R

Classifications

• G06N3/0499

  Feedforward networks · CPC title

• H04L9/50

  using hash chains, e.g. blockchains or hash trees · CPC title

• G06F11/079

  Root cause analysis, i.e. error or fault diagnosis (in a hardware test environment G06F11/22; in a software test environment G06F11/36) · CPC title

• G06F11/0775

  Content or structure details of the error report, e.g. specific table structure, specific error fields · CPC title

• G06F11/2257

  using expert systems · CPC title