TracerID Synthetic Data Markers for Recycled Data Detection
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
There is a challenge in ensuring the freshness and originality of data collected and resold by multiple companies, as recycled data can be difficult to identify, leading to concerns about quality control and authorized usage.
Innovation Solution
The introduction of camouflaged, customized synthetic data events and points, referred to as TracerID, which are iteratively regenerated to track data sets and identify recycled data, along with a method for their detection, allowing for customized distribution and identification of data feed transactions.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If synthetic events or data points are added to saleable data to identify recycled data, then data freshness and originality can be tracked, but the data set size increases and detection complexity increases
Solution Approach 1:
The patent introduces TracerID as an intermediary element that bridges the data collector and data purchaser. Instead of directly tracking all data points, TracerID serves as a mediator that can be embedded in data sets and detected through automated processes, simplifying the tracking mechanism while maintaining reliability
Solution Approach 2:
The patent creates simplified copies of tracking information through TracerID markers rather than tracking complete data sets. These TracerID copies contain essential identification information that can be detected and verified without requiring complex analysis of the entire data set
2Adaptability or versatility
If TracerID markers are distributed to multiple buyers, then customized distribution is enabled, but the system complexity increases due to iterative regeneration requirements
Solution Approach 1:
The patent segments the TracerID system into distinct components: the TracerID marker itself, the customization layer for different buyers, and the detection mechanism. This segmentation allows each component to be independently managed and regenerated, reducing overall system complexity while maintaining adaptability
Solution Approach 2:
The patent implements dynamic TracerID generation where markers are iteratively regenerated based on specific buyer requirements. This dynamic approach allows the system to adapt to different customers while using standardized processes, balancing customization with system simplicity
Data Source
AI summary
The present invention is a method for providing camouflaged, customized, synthetic data events and data points masquerading as true data events or data points, and for subsequent detection of such camouflaged data. Synthetic data as used herein is capable of iterative regeneration to provide customized identifiers for distribution to specific purchasers of data. The relationship between a particular data feed with a particular synthetic identifier and the identity of the user to which it was sent would be stored in the original data collector's centralized server for later reference.

