Data Processing Method for Secure Advertiser Privacy
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Solution Overview
Problem
During data exchange between advertisers and advertising platforms, there is a risk of data leakage as advertisers do not want to fully expose their data, and existing methods fail to adequately protect privacy and security.
Innovation Solution
A data processing method that involves acquiring intersection sets, calculating their intersection, and obfuscating the result to create an obfuscation set that is non-correlated with the original data, ensuring that only obfuscated data is shared, thereby reducing the risk of data leakage.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If advertisers share data with advertising platforms for accounting and analysis, then the advertising platform can effectively promote advertisements and collect user data, but the advertiser's data privacy and security are compromised
Solution Approach 1:
The patent introduces a third-party server as an intermediary to perform secure multi-party computation. This mediator enables the advertising platform to obtain effective user data for promotion while the advertiser's complete user data remains protected. The third party facilitates the data exchange and computation without either party exposing their sensitive raw data, thus resolving the contradiction between advertising effectiveness and data security.
2Measurement precision
If advertisers fully expose effective user data to advertising platforms for accounting, then accurate conversion tracking is achieved, but data leakage risk increases
Solution Approach 1:
The patent segments the data processing into multiple independent parts: each party's data is processed locally through encryption and hashing functions before being sent to the third party. The effective user data is divided into encrypted components that can be computed without revealing the original data. This segmentation allows accurate conversion tracking while preventing data leakage, as neither party can reconstruct the other's raw data from the processed components.
Solution Approach 2:
The patent transforms the data parameters through cryptographic operations including encryption with cryptographic keys, hashing functions, and secure multi-party computation protocols. The original user data is transformed into mathematical representations that preserve the ability to perform accurate conversion tracking while changing the form of data to prevent leakage. The effective user identifiers are transformed through multiple parameter changes that maintain computational accuracy but eliminate direct data exposure.
Data Source
AI summary
A data processing method includes: acquiring a first intersection set, acquiring a second intersection set, calculating an intersection between the first intersection set and the second intersection set to obtain an intersection result set that includes an intersecting portion of the first intersection data and the second intersection data, and obfuscating the intersection result set to obtain an obfuscation set that includes obfuscated data based on data in the second intersection set and an intersection data set based on the intersection result set.