Device Profiling Data Reconciliation with Certainty Scoring
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Solution Overview
Problem
Existing device profiling technologies face challenges in accurately resolving contradictory data from multiple sources, leading to inconsistent and subjective profiling results, which are impractical for real-time processing in large networks.
Innovation Solution
A method and system for resolving contradictions in device profiling data by merging non-contradictory values and selecting values from contradictory sets based on certainty scores, using conflict rules and machine learning to create a reliable device profile.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Quantity of substance
If device profiling data is collected from multiple data sources, then the quantity and diversity of profiling information is improved, but contradictory and inconsistent data increases
Solution Approach 1:
The patent introduces an intermediary contradiction resolution system that mediates between multiple data sources and the final device profile. This system applies conflict rules to identify and resolve contradictory values, using certainty scores to weigh conflicting information from different sources. The intermediary layer transforms raw conflicting data into resolved, consistent profiling information without losing the benefits of multi-source data collection.
Solution Approach 2:
The patent changes the parameter of data reliability by introducing certainty scores that quantify the trustworthiness of values from different data sources. By dynamically adjusting these certainty score parameters based on source reliability, data consistency, and conflict resolution outcomes, the system transforms inconsistent multi-source data into a unified profile with controlled reliability levels.
2Measurement precision
If manual resolution of contradictory data is performed, then the accuracy of device profiling is improved, but the time consumption and operational complexity increases
Solution Approach 1:
The patent implements a self-service contradiction resolution mechanism where the system automatically resolves conflicting profiling data without requiring manual intervention. The contradiction resolution system applies predefined conflict rules, generates certainty scores, and selects resolved values autonomously. This self-service approach maintains high accuracy while eliminating the time loss and operational burden of manual resolution processes.
Solution Approach 2:
The patent replaces the mechanical manual process of contradiction resolution with an automated computational system. Instead of human analysts manually examining and resolving conflicting data, the system uses algorithmic conflict rules, certainty score calculations, and automated value selection to resolve contradictions. This substitution of mechanical human effort with automated computational mechanisms achieves both high accuracy and efficiency.
3Loss of information
If all profiling values from multiple sources are retained, then the completeness of device profile is improved, but the complexity of data processing increases
Solution Approach 1:
The patent extracts only the essential and resolved values from the multi-source profiling data while discarding redundant and contradictory information. The contradiction resolution system identifies conflicting values, applies conflict rules to determine which values to retain, and extracts a streamlined set of resolved profiling attributes. This extraction process maintains profile completeness by preserving necessary information while reducing processing complexity through selective retention of valuable data.
4Productivity
If contradictory values are resolved using simple selection rules, then the processing speed is improved, but the accuracy of selected values deteriorates
Solution Approach 1:
The patent performs preliminary action by pre-establishing conflict rules and certainty score criteria before contradiction resolution occurs. These predefined rules and scoring mechanisms are prepared in advance, allowing the system to quickly resolve contradictions using pre-computed weights and selection criteria. This preliminary preparation enables fast resolution while maintaining accuracy, as the system doesn't need to perform complex analysis during real-time profile creation.
Solution Approach 2:
The patent implements feedback through certainty scores that provide information about the reliability of each profiling value. The contradiction resolution system uses these feedback signals to guide value selection, preferring values with higher certainty scores. This feedback mechanism enables the system to make accurate selections based on quantitative reliability measures rather than simple arbitrary rules, achieving both speed and precision in value selection.
Data Source
AI summary
A system and method for resolving contradictory device profiling data. The method includes: determining a set of non-contradicting values and a set of contradicting values in device profiling data related to a device based on a plurality of conflict rules; merging values of the set of non-contradicting values in device profiling data into at least one first value; selecting at least one second value from the set of contradicting values, wherein selecting one of the at least one second value from each set of contradicting values further includes generating a certainty score corresponding to each value of the set of contradicting values, wherein each certainty score indicates a likelihood that the corresponding value is accurate, wherein the at least one second value is selected based on the certainty scores; and creating a device profile based on the at least one first value and the at least one second value.