Automated Command Error Prevention via Biometric Risk Analysis

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Solution Overview

Problem

Current computer systems face significant downtime and errors due to human mistakes, such as typos or incorrect commands entered at the command line interface, which can lead to substantial productivity losses and downtime for service providers, despite existing efforts to prevent such errors through education and process improvements.

Innovation Solution

A method and system that dynamically extracts user behavior and interaction data using keylogging and camera components to analyze risk scores in real-time, preventing potentially erroneous commands from being executed by locking the user out or sending warnings based on calculated risk levels exceeding a threshold.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Reliability

If traditional error prevention methods (education and process improvements) are used, then user awareness is improved, but computer errors still occur due to human mistakes

Engineering Contradiction:
Improvecomputer error preventionVSAvoidsystem downtime
Core Design Contradiction:
ReliabilityVSProductivity

Solution Approach 1:

The patent replaces manual error prevention methods (education and process improvements) with an automated biometric authentication system. The system uses fingerprint recognition technology to verify user identity before allowing command execution, substituting human awareness-based prevention with mechanical/biological verification that objectively prevents errors caused by human mistakes.

Inventive Principle:
Principle #28Mechanics substitution (Replace mechanical system)

Solution Approach 2:

The patent introduces a biometric authentication intermediary between the user and the command execution system. The fingerprint recognition system acts as a mediator that verifies user identity and authorization status before allowing commands to be executed, preventing erroneous commands from being carried out while maintaining system accessibility.

Inventive Principle:
Principle #24Intermediary (Mediator)

2Measurement precision

If biometric authentication is implemented, then command execution accuracy is improved, but system complexity increases

Engineering Contradiction:
Improvecommand execution accuracyVSAvoidsystem architecture
Core Design Contradiction:
Measurement precisionVSDevice complexity

Solution Approach 1:

The patent leverages the universal applicability of fingerprint recognition technology, which is already widely integrated into modern devices. By using an existing biometric authentication mechanism that can be applied across different systems, the patent avoids creating a completely new complex verification system, thereby reducing overall system complexity while maintaining high command execution accuracy.

Inventive Principle:
Principle #6Universality (Multi-functionality)

3Reliability

If real-time biometric verification is performed, then user identity verification is improved, but processing time increases

Engineering Contradiction:
Improveuser identity verificationVSAvoidcommand execution speed
Core Design Contradiction:
ReliabilityVSSpeed

Solution Approach 1:

The patent implements biometric authentication in advance, before commands are entered or executed. By performing fingerprint verification preliminarily and establishing user authorization status beforehand, the system avoids repeated verification delays during command execution, thereby maintaining both high reliability of identity verification and speed of command processing.

Inventive Principle:
Principle #10Preliminary action

Data Source

PatentUS11275640B2Computer error prevention and reduction
Publication Date: 2022.03.15 KYNDRYL INC
  • US11275640B2 patent drawing
  • US11275640B2 patent drawing
  • US11275640B2 patent drawing

AI summary

A method for automatically reducing computer errors is provided. The method may include in response to detecting an interactive session, dynamically extracting data associated with a user by using a keylogging component and a camera associated with the computer. The method may further include performing real-time analysis on the extracted data to determine a risk score, whereby the risk score is used to determine whether a potential risk for a computer error exists based on the extracted data associated with the user. The method may further include in response to a command being entered on the command line interface, determining a risk score associated with the entered command. The method may also include in response to determining that the risk score is at or above a threshold risk level based on the real-time analysis, preventing the entered command from being executed and taking an additional preventive computing action.