Intelligent Database Control System for Automated Request Legitimacy Scoring

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Solution Overview

Problem

Database control systems face complexity and inefficiency when handling database requests from users without appropriate execution permissions, hindering the implementation of machine learning-based automated query methods and impacting processing performance and resource allocation.

Innovation Solution

An intelligent database control system that uses a computing device to generate a legitimacy score for database requests based on predetermined definitions, determines if the score meets a threshold, and performs automated request assessments using machine learning algorithms, formatting and executing requests while analyzing execution details to improve resource utilization.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Reliability

If a database administrator manually validates and processes database requests from users without appropriate execution permissions, then security and access control are maintained, but the system complexity and processing time increase significantly

Engineering Contradiction:

Improvesecurity controlVSAvoidprocess complexity

Core Design Contradiction:

ReliabilityVSDevice complexity

Solution Approach 1:

The system enables automated self-service processing where the database control system automatically validates requests against predefined policies, checks legitimacy scores, and executes approved queries without requiring manual database administrator intervention for each request

Inventive Principle:

Principle #25Self-service

Solution Approach 2:

The system performs preliminary actions by pre-defining access policies, permission levels, and legitimacy criteria before requests arrive, allowing automated real-time validation and decision-making without complex manual processing

Inventive Principle:

Principle #10Preliminary action

2Reliability

If a database administrator manually processes each database request with comprehensive validation, then request security is ensured, but processing efficiency and productivity decrease

Engineering Contradiction:

Improverequest securityVSAvoidprocessing efficiency

Core Design Contradiction:

ReliabilityVSProductivity

Solution Approach 1:

The database control system automatically performs security validation, legitimacy scoring, and request processing without manual intervention, maintaining security while dramatically improving processing efficiency through automated decision-making

Inventive Principle:

Principle #25Self-service

Solution Approach 2:

The system implements automated feedback loops where execution results and performance metrics are continuously analyzed to refine legitimacy scoring and adjust processing decisions, improving both security and efficiency over time

Inventive Principle:

Principle #23Feedback

3Extent of automation

If machine learning algorithms are implemented for automated query processing, then processing speed and automation improve, but system complexity and resource consumption increase

Engineering Contradiction:

Improveautomated query processingVSAvoidsystem complexity

Core Design Contradiction:

Extent of automationVSDevice complexity

Solution Approach 1:

The system replaces manual mechanical processing with machine learning-based automated query processing, using intelligent algorithms to automatically validate requests, determine legitimacy, and execute queries without human intervention

Inventive Principle:

Principle #28Mechanics substitution (Replace mechanical system)

Solution Approach 2:

The system changes operational parameters by implementing dynamic legitimacy scoring and adaptive processing thresholds that automatically adjust based on request characteristics and historical data, enabling intelligent automation without fixed complex rules

Inventive Principle:

Principle #35Parameter changes

4Adaptability or versatility

If ad hoc queries are manually provided and executed, then flexible access is granted to users without permissions, but resource allocation and performance are negatively impacted

Engineering Contradiction:

Improveaccess flexibilityVSAvoidresource utilization

Core Design Contradiction:

Adaptability or versatilityVSProductivity

Solution Approach 1:

The system dynamically adjusts processing parameters and resource allocation based on legitimacy scores and request characteristics, allowing flexible access for authorized users while automatically optimizing resource utilization and preventing performance degradation

Inventive Principle:

Principle #35Parameter changes

Data Source

PatentUS10565214B2Intelligent database control systems with automated request assessments

Publication Date: 2020.02.18 BANK OF AMERICA CORP

AI summary

Aspects of the disclosure relate to intelligent database control systems for performing automated request assessments. In one embodiment, a computing device may receive, via a communication interface, a database request from a user computing device. The computing device may generate a legitimacy score associated with the database request based on one or more predetermined definitions. If the legitimacy score is above a predetermined threshold, the computing device may format the database request based on one or more of the predetermined definitions and the legitimacy score and command, via the communication interface, one or more databases to execute the database request. The computing device may format result set generated from the executed database request and transmit, via the communication interface, the formatted result set to the user computing device.