Anonymity Protection for Aggregated Reporting Queries
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Solution Overview
Problem
In a networked environment, content providers face challenges in obtaining performance reports for third-party content without violating data protection laws or revealing personally identifiable information, as existing systems struggle to prevent query manipulation that could expose sensitive data.
Innovation Solution
A reporting system that receives queries from content providers, retrieves and compares log file records, determines similarity with previous records, and modifies current records to ensure they are not too similar, by removing data or adding artificial noise, to protect user privacy and prevent identification of individual interactions.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If detailed interaction data is provided to content providers for performance reporting, then the usefulness and precision of reports is improved, but the risk of exposing personally identifiable information and violating data protection laws increases
Solution Approach 1:
The system segments interaction data by grouping records according to query parameters (e.g., time period, content item, device type) and provides aggregated statistics for each segment rather than individual records. This segmentation maintains report precision at the aggregate level while preventing identification of individual users through detailed data exposure.
Solution Approach 2:
The system introduces an intermediary processing layer between the raw interaction data and the content provider queries. This intermediary automatically generates aggregated report data according to specified parameters, acting as a mediator that delivers useful information while filtering out personally identifiable details that would pose privacy risks.
2Productivity
If aggregated report data is provided without modification, then the simplicity and speed of report generation is improved, but the ability to prevent query manipulation and protect user anonymity deteriorates
Solution Approach 1:
The system performs preliminary actions by comparing the current query against previously executed queries and their results before generating the report. This preliminary check identifies potential query manipulation attempts and prevents anonymity protection failures before they occur, ensuring reliable anonymous reporting while maintaining efficient report generation for legitimate queries.
Solution Approach 2:
The system implements feedback by analyzing patterns across multiple queries and adjusting report generation accordingly. When query manipulation is detected through pattern recognition, the system modifies its response to maintain anonymity protection, creating a feedback loop that continuously improves reliability without significantly impacting the speed of legitimate report generation.
3Adaptability or versatility
If multiple similar queries are allowed from content providers, then the flexibility and adaptability of the reporting system is improved, but the risk of identifying individual interactions through comparison increases
Solution Approach 1:
Before executing similar queries, the system performs a preliminary comparison check against previously executed queries. This preliminary action identifies when a new query is sufficiently similar to an existing one and prevents execution that would compromise anonymity, thereby protecting anonymity information while still allowing flexible querying within safe boundaries.
Solution Approach 2:
The system applies preliminary anti-action by proactively preventing query execution when similarity thresholds indicate potential anonymity risks. This preemptive measure counteracts the potential harm of information loss before it can occur, maintaining a balance between query flexibility and anonymity protection by blocking only those specific queries that would create identification risks.
Data Source
AI summary
Systems and methods for providing interaction data in response to a query from a content provider are provided. One method includes receiving a query from the content provide including a plurality of parameters relating to interactions with a content item of the content provider. The method includes retrieving a set of log file records using the included plurality of parameters and generating a current set of records identifying interaction data with the content item. The method includes comparing the current set of records to a previous set of records generated by the one or more processors for a previous query from the content provider and determining a similarity between the current set of records and the previous set of records. The method includes modifying, if the similarity is above a threshold, the current set of records and providing the modified set of records to the content provider.