Differential Privacy Service Analysis with Adaptive Budget Rounds
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Solution Overview
Problem
Differential privacy-based methods for data protection often result in overly strict privacy protection, leading to the damage of valid information and limiting the usability of data for service analysis due to insufficient privacy budgets.
Innovation Solution
A method and apparatus that adaptively adjust privacy budgets through multiple rounds of differential privacy processing, allowing for flexible privacy protection by increasing privacy budgets if initial analysis fails, ensuring successful service analysis is achieved.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If differential privacy processing is applied with a fixed small privacy budget, then privacy protection level is improved, but data usability for service analysis deteriorates
Solution Approach 1:
The patent applies dynamics by transitioning from a fixed privacy budget to a dynamic, multi-round privacy budget allocation mechanism. The system starts with an initial privacy budget for differential privacy processing, evaluates service analysis results, and adaptively adjusts the budget in subsequent rounds based on whether the analysis succeeded or failed. This dynamic adjustment allows the privacy protection level to be optimized while maintaining data usability for service analysis.
2Reliability
If a small privacy budget is used for differential privacy processing, then privacy protection is strengthened, but service analysis accuracy deteriorates
Solution Approach 1:
The patent applies preliminary action by performing service analysis with an initial privacy budget before committing to a final budget level. The system evaluates whether the service analysis succeeds with the initial budget, and only if it fails does it proceed to adjust the privacy budget in subsequent rounds. This preliminary evaluation allows the system to maintain strong privacy protection when possible while ensuring analysis accuracy when needed.
Solution Approach 2:
The patent implements feedback by using the service analysis result as a feedback signal to adjust the privacy budget. The system monitors whether service analysis succeeds or fails, and this feedback drives the adaptive adjustment of the privacy budget in subsequent rounds. This feedback mechanism ensures that privacy protection is strengthened when analysis accuracy is sufficient, while allowing budget increase when analysis fails, thus maintaining measurement precision.
3Adaptability or versatility
If multiple rounds of differential privacy processing are performed with adaptive budget adjustment, then data usability is improved, but processing complexity increases
Solution Approach 1:
The patent applies segmentation by dividing the differential privacy processing into multiple discrete rounds, each with its own privacy budget evaluation and potential adjustment. Instead of a single complex processing step, the system segments the process into: (1) initial differential privacy processing with first budget, (2) service analysis evaluation, (3) conditional budget adjustment, and (4) subsequent processing rounds if needed. This segmentation makes the adaptive mechanism more manageable and implementable despite increased processing requirements.
Data Source
AI summary
This specification provides differential privacy-based service analysis methods and apparatuses. According to the methods, the methods include at least one service analysis stage, and any service analysis stage includes at least one round of operations. An nth round of operations of the service analysis stage include the following steps: obtaining target data, where the target data are obtained by performing anonymization processing on to-be-processed data; performing predetermined service analysis on the target data; and if the service analysis succeeds, ending the service analysis stage; or if the service analysis fails, determining an (n+1)th round of privacy budget, and sending the (n+1)th round of privacy budget to the multiple user devices. As such, in a process of performing differential privacy processing on data, a privacy budget can be adaptively adjusted to enhance flexibility of a privacy protection process and improving availability of privacy protection data.