Blockchain Node Auto-Healing for Configuration Drift Recovery

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Solution Overview

Problem

Configuration drifts in blockchain nodes lead to inconsistencies, compromising security and integrity of transactions, due to fluctuations in settings caused by software updates, human error, malicious activity, or clock synchronization issues.

Innovation Solution

A system utilizing swarm-based identification and neuro-symbolic AI algorithms to monitor and remediate configuration drifts by temporarily isolating nodes with significant deviations, executing a two-tier remediation routine, and regenerating blocks to align settings with required configurations.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Adaptability or versatility

If configuration settings are allowed to fluctuate freely to adapt to software updates and operational changes, then system adaptability is improved, but configuration drift occurs leading to security compromises and network inconsistencies

Engineering Contradiction:

Improveconfiguration adaptabilityVSAvoidnetwork security and consistency

Core Design Contradiction:

Adaptability or versatilityVSReliability

Solution Approach 1:

The patent implements a feedback mechanism where monitoring models continuously observe node configurations and automatically trigger remediation actions when drift is detected. The system compares current configurations against required configurations, identifies drifts, and executes auto-healing routines to restore compliance, creating a closed-loop control system that maintains reliability while allowing operational flexibility

Inventive Principle:

Principle #23Feedback

Solution Approach 2:

The auto-healing mechanism enables the blockchain network to self-correct configuration drifts without human intervention. When the monitoring model detects a drift, it automatically executes remediation routines to restore the node configuration to required settings, allowing the system to maintain its own security and consistency standards autonomously

Inventive Principle:

Principle #25Self-service

2Measurement precision

If manual monitoring and remediation of configuration drifts is performed, then detection precision can be maintained, but operational complexity and response time increase significantly

Engineering Contradiction:

Improvedrift detection precisionVSAvoidmonitoring system complexity

Core Design Contradiction:

Measurement precisionVSDevice complexity

Solution Approach 1:

The patent replaces manual monitoring and remediation processes with automated machine learning-based monitoring models and neuro-symbolic AI algorithms. These intelligent systems automatically detect configuration drifts with high precision and execute remediation actions, eliminating the need for human operators while maintaining or improving detection accuracy and reducing response time

Inventive Principle:

Principle #28Mechanics substitution (Replace mechanical system)

Solution Approach 2:

The monitoring model acts as an intermediary between the blockchain nodes and the remediation system. It continuously observes node configurations, compares them against required configurations, and triggers automated remediation when drift is detected, serving as an intelligent mediator that simplifies the overall monitoring architecture while maintaining high detection precision

Inventive Principle:

Principle #24Intermediary (Mediator)

3Reliability

If configuration drifts are detected and remediated automatically, then network security is improved, but additional computational resources and processing time are required

Engineering Contradiction:

Improveblockchain securityVSAvoidcomputational resource consumption

Core Design Contradiction:

ReliabilityVSUse of energy by moving object

Solution Approach 1:

The monitoring model employs partial action by focusing computational resources only on detecting specific configuration drifts rather than continuously analyzing all node operations. The system activates full remediation routines only when drift is detected, using minimal computational resources for monitoring and intensive resources only when needed, thus balancing security with resource efficiency

Inventive Principle:

Principle #16Partial or excessive action

Data Source

PatentUS20260005878A1Auto-healing for blockchain configuration drifts

Publication Date: 2026.01.01 BANK OF AMERICA CORP

AI summary

A method for identifying configuration drifts in blockchain nodes and remediating the configuration drifts is provided. The method may include monitoring a plurality of nodes to identify a configuration drift to the required node configuration settings. In response to the monitoring, the method may include identifying a deviation between a current node configuration setting and the required node configuration settings. The method may include, in response to determining that an impact level of the configuration drift to the blockchain network is greater than a pre-determined threshold value, communicating with each of the plurality of nodes to temporarily isolate the node including the deviation pending a remediation of the configuration drift. Following the remediation, the method may include relinking an operation of the node to the blockchain network in increments by increasing, incrementally, the operation of the node from a first operational level to a target operational level.