Privacy Computing API Interoperability Across Isolated Devices
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Solution Overview
Problem
The challenge of interconnection and interoperability between privacy algorithm products stored in different privacy computing devices, leading to 'data islands' and 'computing islands', is a critical issue that existing technologies have not effectively addressed.
Innovation Solution
A privacy computing system and method that enables interoperability through management plane and data plane interactions between privacy computing devices, using identification information and standardized APIs to facilitate the exchange and loading of algorithm components, ensuring mutual independence between management and data plane operations.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If privacy computing products are stored in different privacy computing devices based on different system platforms, then data security and privacy protection are improved, but interconnection and interoperability between devices deteriorate, creating computing islands
Solution Approach 1:
The patent implements a universal standard interface that enables different privacy computing devices with diverse algorithms and protocols to interoperate through a common communication framework. The standard interface defines unified data formats, communication protocols, and interaction mechanisms that allow devices from different system platforms to exchange information and collaborate on privacy computing tasks, thus achieving multi-functionality across heterogeneous systems while maintaining data security
2Reliability
If privacy computing products are isolated in different devices to protect privacy, then privacy security is improved, but information interaction and collaboration between devices deteriorate
Solution Approach 1:
The patent introduces a standard interface as an intermediary layer between isolated privacy computing devices. This intermediary enables information exchange and collaboration by translating between different device protocols and formats while maintaining privacy boundaries. The standard interface acts as a mediator that facilitates information interaction without compromising the security isolation of individual devices, allowing collaborative privacy computing across device boundaries
Data Source
AI summary
The disclosure provides a a privacy computing method, including that, when first computing data is obtained after corresponding computation is performed on the basis of a first sub-algorithm in a privacy algorithm on to-be-processed data, and when it is determined that the first computing data needs to be recomputed on the basis of a second sub-algorithm in the privacy algorithm, where the second sub-algorithm is stored in another privacy computing device, a proxy API corresponding to the first sub-algorithm and a proxy API corresponding to the second sub-algorithm are determined according to a pre-stored correspodance between sub-algorithms and proxy APIs. The first computing data is sent, by means of the proxy API corresponding to the first sub-algorithm, to the proxy API corresponding to the second sub-algorithm, such that the other privacy computing device performs corresponding computation on the first computing data based on the second sub-algorithm.