Electronic Arrangement Protocols for Transient Synthetic Data Use
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Existing data generation methods for user behavior analysis and predictive modeling face challenges in balancing data privacy with resource efficiency, as they rely on direct utilization of customer data, which poses privacy concerns and is resource-intensive.
Innovation Solution
A system and method for altered data generation using electronic arrangement protocols that modify real-world data in real-time to obfuscate sensitive information, generating synthetic data on a distributed ledger, which is then used transiently without storage.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If real customer data is used for user behavior analysis and predictive modeling, then comprehensive data for accurate analysis is obtained, but data privacy is compromised and resource consumption increases
Solution Approach 1:
The patent creates synthetic copies of real customer data that replicate the statistical properties and patterns of actual data without containing any real personal information. These synthetic data copies are generated through electronic arrangement protocols that mimic real-world data relationships, enabling accurate predictive modeling while completely eliminating privacy risks associated with using real customer data.
Solution Approach 2:
The patent generates synthetic data on-demand that can be used transiently for analysis and then discarded. This disposable approach to data eliminates the need for long-term storage of sensitive information while providing comprehensive data for accurate user behavior analysis and predictive modeling when needed.
2Quantity of substance
If real customer data is stored and used for testing and analysis, then complete data is available for comprehensive analysis, but storage resources are consumed and data handling complexity increases
Solution Approach 1:
The patent pre-generates synthetic data with complete statistical properties and relationships needed for analysis before actual testing or modeling begins. This preliminary creation of comprehensive synthetic data eliminates the need to store and process large volumes of real customer data, reducing storage requirements and computational resources while maintaining data completeness for accurate analysis.
3Object-affected harmful factors
If synthetic data is generated traditionally, then data privacy is protected, but the generation process is resource-intensive and time-consuming
Solution Approach 1:
The patent replaces traditional computationally intensive synthetic data generation methods with electronic arrangement protocols executed on distributed ledgers. This substitution of the generation mechanism maintains strong data privacy protection while dramatically improving generation speed and efficiency, enabling rapid production of comprehensive synthetic data without the resource constraints of traditional approaches.
Data Source
AI summary
Systems, computer program products, and methods are described herein for altered data generation and transient use via electronic arrangement protocols. The present disclosure includes retrieving data of a first database, aggregating the data with additional data to form an aggregated data object, tagging the aggregated data object with at least one summary tag, searching an electronic arrangement protocol repository to identify at least one electronic arrangement protocol related to the at least one summary tag, wherein the at least one electronic arrangement protocol may include a first electronic arrangement protocol rule, for a first element of the at least one summary tag, comprising instructions to alter identifiable information, fabricating synthetic data based on the aggregated data object using the at least one electronic arrangement protocol, generating and appending the token to a distributed ledger.