Hosted Service Detecting Emerging Trends in Private Data
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Solution Overview
Problem
There is a need for methods and systems to identify and share common trends in a corpus of private information without revealing the private information, as entities managing such information, like financial institutions, want to gain insights into emerging trends without compromising the privacy of their users or customers.
Innovation Solution
A method and system that reads and compares private information from different entities, identifies common patterns, and determines if these patterns represent emerging trends, reporting them without disclosing the original information, using a hosted service to support financial transactions and other proprietary rules.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of information
If private information is shared between entities, then common trends and insights can be identified, but privacy and security of the information is compromised
Solution Approach 1:
A third-party service is introduced as an intermediary that receives private information from multiple entities, processes it to identify common trends, and shares insights without revealing the underlying private data. This mediator enables trend identification while preserving privacy by never exposing the original information.
Solution Approach 2:
Instead of sharing the original private information, the system creates and shares copies or representations of trends derived from the private data. The shared output contains only the aggregated trend information, not the underlying private records, thus preserving privacy while enabling knowledge sharing.
2Loss of information
If detailed private information is shared, then comprehensive insights can be gained, but the complexity of data processing and privacy management increases
Solution Approach 1:
The system extracts only the essential trend information from the detailed private data, separating the useful insights from the sensitive underlying information. By taking out only the aggregated trend patterns rather than the complete private datasets, the system reduces data processing complexity while maintaining information completeness for trend analysis.
Solution Approach 2:
The private information is segmented into individual entity data and aggregated trend information. The system processes data at the entity level but shares only the aggregated results, dividing the complexity of data management between local processing and centralized analysis, thus reducing overall system complexity.
Data Source
AI summary
Embodiments of the present invention provide methods, systems, and machine-readable media for identifying and sharing common trends represented in a corpus of private information without revealing the private information. Identifying and sharing common trends can comprise reading a first set of private information and a second set of private information. The first set of private information can be compared to the second set of private information and common information between the first set of private information and the second set of private information can be identified. Once identified, a determination can be made as to whether the identified common information represents an emerging trend, i.e., the common information re-occurs or develops over time. In response to determining the identified common information represents an emerging trend, the emerging trend can be reported without revealing the first set of private information or the second set of private information.