Secure Data Clean Room for Privacy-Preserving Ad Overlap Analysis
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Solution Overview
Problem
Current digital advertising methods using third-party cookies face challenges in securely and efficiently sharing data between different entities for overlap analysis, due to privacy concerns and the need to protect sensitive information.
Innovation Solution
An encryption-based data clean room is implemented, allowing direct matching of user IDs across different data sets using shared functions and objects, where the provider generates secure values and encrypts data, and the requester performs matching using a shared access function with a private decryption key, ensuring data privacy and security.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If third-party cookies are used for data sharing and overlap analysis, then advertising targeting capability is improved, but data privacy and security are compromised
Solution Approach 1:
The patent introduces a trusted third-party platform as an intermediary that hosts encrypted data sets from multiple companies. This mediator enables overlap analysis between customer lists without direct data sharing, allowing advertising targeting while maintaining privacy through encryption and controlled access mechanisms
Solution Approach 2:
The system creates encrypted copies of customer data sets that can be shared and analyzed without exposing the original sensitive information. These encrypted copies allow for overlap analysis and advertising targeting while the underlying data remains protected, effectively decoupling the utility of the data from its sensitive content
2Measurement precision
If companies directly share customer data for overlap analysis, then analysis accuracy is improved, but data exposure and security risks increase
Solution Approach 1:
A trusted platform acts as an intermediary that hosts encrypted data sets from multiple companies. This mediator enables overlap analysis between customer lists without direct data sharing, allowing advertising targeting while maintaining privacy through encryption and controlled access mechanisms
Solution Approach 2:
The system changes the state of data from plaintext to encrypted format, transforming the parameter of data accessibility. This allows the data to maintain its analytical utility for overlap analysis while changing its security properties to prevent exposure, resolving the contradiction between analysis accuracy and data protection
3Reliability
If encryption is implemented for data protection, then data security is improved, but data sharing and analysis efficiency decrease
Solution Approach 1:
Data is encrypted in advance before being uploaded to the trusted platform, and encrypted indexes are pre-computed to enable efficient searching and matching. This preliminary encryption and index creation allows subsequent overlap analysis to proceed efficiently without real-time decryption overhead, maintaining both security and productivity
Solution Approach 2:
The system creates encrypted copies of customer data sets that can be shared and analyzed without exposing the original sensitive information. These encrypted copies allow for overlap analysis and advertising targeting while the underlying data remains protected, effectively decoupling the utility of the data from its sensitive content
Data Source
AI summary
Embodiments of the present disclosure may provide a data clean room allowing encryption based data analysis across multiple accounts of different database users. The data clean room may also restrict which data may be used in the analysis and may restrict the output. A requesting user's data can be encrypted using a key and a provider user can generate a shareable database function that accepts the key to decrypt the data to generate the results data without exposing each others' data.