Continuous Telemetry Collection with Differential Privacy Guarantees
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Solution Overview
Problem
Conventional differential privacy mechanisms fail to provide strong privacy guarantees when data is collected continuously, especially when users' private values change frequently, limiting their applicability in telemetry applications.
Innovation Solution
A facility is introduced that employs 1-bit response mechanisms and α-point rounding in the local model of differential privacy, combined with memoization and output perturbation, to maintain rigorous privacy guarantees during continuous data collection, ensuring users' privacy is protected even with small but frequent changes in their values.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If conventional differential privacy mechanisms are used for single-round data collection, then strong privacy guarantees are provided, but privacy guarantees quickly degrade when data is collected continuously over time
Solution Approach 1:
The patent segments the continuous data collection process into discrete rounds, where each round uses a fresh differential privacy mechanism. This segmentation allows the system to maintain strong privacy guarantees in each individual round while accumulating useful data over multiple rounds, preventing the degradation that occurs with continuous collection using a single mechanism
Solution Approach 2:
The patent performs preliminary actions by pre-processing and aggregating data in controlled intervals before applying the differential privacy mechanism. This preliminary aggregation reduces the frequency of privacy mechanism applications, maintaining privacy guarantees while still capturing temporal trends in the data
2Measurement precision
If data is collected frequently to capture user behavior changes, then accuracy of telemetry data is improved, but privacy leakage increases
Solution Approach 1:
The patent dynamically adjusts the differential privacy parameters (such as epsilon and aggregation intervals) based on the collected data characteristics and privacy requirements. This allows the system to maintain high measurement precision when necessary while reducing privacy leakage by adjusting parameters to match the actual needs of the telemetry application
3Productivity
If telemetry data is collected continuously for long-term storage and analysis, then productivity of data analysis is improved, but privacy protection deteriorates over time
Solution Approach 1:
The patent segments stored telemetry data into multiple anonymized batches, each protected by its own differential privacy guarantees. This segmentation enables long-term storage and analysis (improving productivity) while maintaining privacy protection through multiple layers of privacy preservation applied at different time points
Solution Approach 2:
The patent introduces an intermediary aggregation layer that processes and anonymizes data before long-term storage. This intermediary layer acts as a mediator between continuous data collection and long-term storage, ensuring privacy protection is maintained even as data accumulates over time for productive analysis
Data Source
AI summary
A facility for reporting on original values on behalf of each of a plurality of users—each falling within a domain partitioned into a plurality of segments of uniform size—is provided. For each of the plurality of users, the facility (a) randomly selects an upward-rounding window size that is smaller than the segment size; (b) for each source value in a domain, randomly determines a mapping of each segment of the domain to a segment identifier value; (c) determines an original value for the user; (d) adds the upward-rounding window size to the user's original value to obtain a window-augmented original value; (e) identifies a segment containing the window-augmented original value; (f) identifies a segment identifier value mapped-to from the identified segment using the determined mapping; and (g) transmits a reporting communication on the user's behalf reporting a value based on the identified segment identifier value.


