Privacy-Preserving Data Perturbation for Secure User Information Analysis
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Solution Overview
Problem
Modern computing systems face increased risks of data theft and information attacks as they rely on external services for analysis, necessitating enhanced security measures for protecting user information during transmission.
Innovation Solution
A computing system with a control unit that generates perturbed user information based on an information release setting, preserving the information format while making it maximally different from raw user information, thereby eliminating the need for encryption and additional security measures.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If user information is transmitted to external services for analysis, then the functionality and accuracy of recommendations are improved, but the risk of data theft and information attacks increases
Solution Approach 1:
The patent introduces perturbed user information as an intermediary between the user and external services. This perturbed information contains added noise that prevents direct identification of users or sensitive details, while still preserving enough statistical properties to enable accurate recommendations. The perturbation acts as a mediator that allows data utility while blocking harmful access to raw personal information
Solution Approach 2:
The patent transforms the original user information by changing its parameters through perturbation techniques. Noise is added to the data, and statistical properties are modified while maintaining the underlying patterns needed for analysis. This parameter transformation allows external services to perform accurate recommendations without accessing the original sensitive data
2Reliability
If encryption and additional security measures are implemented, then the protection of user information is improved, but the device complexity and processing overhead increase
Solution Approach 1:
Instead of protecting raw information through encryption and then allowing controlled access, the patent inverts the approach by transforming the information into a protected form (perturbed data) before transmission. The protection is built into the data structure itself through perturbation, eliminating the need for separate encryption layers and complex security management
Solution Approach 2:
The patent extracts the essential analytical value from user information while leaving behind the sensitive personal details. By separating the useful statistical properties from the identifying information through perturbation, the system achieves protection without requiring additional security infrastructure
Data Source
AI summary
A computing system includes: a control unit configured to: obtain an information release setting for a raw user information, the raw user information including an information attribute; determine an information format for the information attribute of the raw user information; determine a privacy notion based on the information release setting; generate perturbed user information from the information attribute based on the privacy notion, wherein the information format for the raw user information is preserved in the perturbed user information; and a communication unit, coupled to the control unit, configured to transmit the perturbed user information.