Multi-Layer Encryption for Data Privacy Protection
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Solution Overview
Problem
The risk of user privacy data leakage is increased when service platforms associate user identity data with service data, particularly in scenarios like smart healthcare where sensitive information is shared.
Innovation Solution
A data privacy protection method based on multi-layer encryption is implemented, where each client in a specified order encrypts its service data using public keys from subsequent clients, ensuring that only the final client can decrypt and send aggregated service data to the service platform, thereby preventing data leakage.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If the service platform associates user identity data with service data to authenticate user identity, then user identity verification is improved, but user privacy security deteriorates
Solution Approach 1:
The service data transmission process is segmented into multiple layers of encryption. Each client encrypts its service data independently using its own private key and the service platform's public key, creating separate encrypted data segments that cannot be traced back to individual users by the service platform
Solution Approach 2:
A multi-layer encryption mechanism is introduced as an intermediary between user identity data and service data. The encryption layers act as a mediator that prevents direct association between user identity and service data, allowing the service platform to verify service authenticity without accessing user identity information
2Object-affected harmful factors
If multi-layer encryption is applied to service data to protect user privacy, then privacy security is improved, but data processing complexity deteriorates
Solution Approach 1:
Each client performs preliminary encryption of its service data using its private key before transmission. This preliminary action ensures that data is already encrypted when received by the service platform, simplifying the overall processing by eliminating the need for the platform to implement complex decryption and re-encryption workflows
Solution Approach 2:
The encryption mechanism uses standard asymmetric encryption algorithms (RSA, ECC) that are universally supported by cryptographic libraries. This multi-functionality allows the system to leverage existing, well-tested encryption implementations rather than developing custom complex encryption logic
Data Source
AI summary
A data privacy protection method based on multi-layer encryption is disclosed, which is related to the technical field of network technologies. The method includes: by an initial client, encrypting service data based on a public key set to obtain first to-be-processed data, and sending the first to-be-processed data to a next client; by an intermediate client, obtaining the first to-be-processed data sent by a previous client, encrypting service data based on a public key set to obtain second encrypted data, and sending second to-be-processed data and the second encrypted data to a next client; by a final client, obtaining the second to-be-processed data and the second encrypted data sent by a previous client, decrypting the second to-be-processed data and the second encrypted data based on its own private key, to obtain service data of each of other clients other than the final client itself, and sending the service data of all of the clients in a data privacy protection system to a preset service platform. The embodiments of the present application are applied to reduce the risk of user's privacy data leakage.