Multi-Faceted Trust Score Calculation for Data Security
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Solution Overview
Problem
Existing data processing approaches, such as defensive and offensive data strategies, are inefficient when combining internal and external data for insights and decision-making, particularly in determining data trustworthiness.
Innovation Solution
A system and method for applying multi-faceted trust scores in data security, which involves determining data facets, parameters, and weights to calculate trust scores, enabling informed decision-making and action triggering based on these scores.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If traditional defensive or offensive data strategies are used, then data processing can be performed, but the efficiency is insufficient when combining internal and external data for decision-making
Solution Approach 1:
The patent segments data evaluation into multiple independent facets (quality, completeness, timeliness, source reliability, etc.), each assessed separately with specific metrics. This segmentation allows comprehensive evaluation of data trustworthiness while maintaining processing efficiency through modular assessment.
Solution Approach 2:
The patent introduces multiple parameters and weights that can be dynamically adjusted based on data characteristics and decision-making requirements. By changing parameters such as facet weights and threshold values, the system adapts to different data scenarios while maintaining efficient processing.
2Reliability
If multiple data facets are evaluated with multiple parameters and weights, then comprehensive trust score calculation is achieved, but the system complexity increases
Solution Approach 1:
The patent creates a universal trust score calculation framework that handles multiple data types and evaluation criteria through a single integrated system. The decision table and score calculation unit serve multiple functions: evaluating different data facets, applying various weights, and generating trust scores for diverse data scenarios.
Solution Approach 2:
The system automatically determines data facets, selects parameters, applies weights, and calculates trust scores without requiring manual intervention for each data item. The automated decision-making process reduces operational complexity while maintaining comprehensive evaluation.
3Measurement precision
If trust scores are calculated based on multiple facets and parameters, then accurate decision-making is enabled, but the processing time increases
Solution Approach 1:
The patent pre-defines data facets, parameters, weights, and decision rules in a decision table before actual data processing. This preliminary configuration allows the system to quickly retrieve and apply established criteria during trust score calculation, reducing processing time while maintaining accuracy.
Solution Approach 2:
The system calculates trust scores based on the most relevant data facets and parameters for each specific decision-making scenario, rather than evaluating all possible facets equally. This selective approach maintains precision while reducing unnecessary processing time.
Data Source
AI summary
Provided are methods and systems for applying multi-faceted trust scores in data security. A method may commence with determine a plurality of data facets for a data item. The method may further include determining a plurality of parameters and weights corresponding to the plurality of data facets associated with the data item. Upon determining the plurality of parameters and weights, at least one trust score for the data item may be calculated based on the plurality of parameters and weights. The method may further include selectively taking an action based on the at least one trust score.