Confidential Data Analysis via Segmented Cloud Authorization
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Solution Overview
Problem
Current data analysis technologies cannot securely analyze confidential data on cloud platforms due to limitations in hardware devices, restricting data analysts and providers by location and compromising personal and company information security.
Innovation Solution
A method and system utilizing different keys for segment authorization on a cloud host to perform analysis, where the first key verifies initial analysis results and the second key enables formal analysis offline, enhancing security and allowing cloud computing for confidential data analysis.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If hardware devices are used to prevent leaking of confidential data, then data security is improved, but data analysts and data providers are restricted by location and hardware device limitations
Solution Approach 1:
The patent segments the authorization process into multiple stages with different keys. The first key authorizes preliminary analysis with verification capability, while the second key authorizes formal analysis. This segmentation allows cloud-based analysis (improving adaptability) while maintaining security controls (preserving reliability) by dividing the analysis workflow into controlled phases.
Solution Approach 2:
The patent introduces an intermediary verification mechanism in the first analysis stage. The cloud host performs preliminary analysis and generates results that must be verified before proceeding to formal analysis. This intermediary step enables cloud computing usage while maintaining security oversight, resolving the contradiction between location flexibility and data security.
2Adaptability or versatility
If cloud computing technology is used for data analysis, then location restrictions are removed and accessibility is improved, but security of confidential data analysis is compromised
Solution Approach 1:
The authorization process is divided into segments using different keys for different analysis stages. The first key enables preliminary analysis with verification, and the second key enables formal analysis. This segmentation allows cloud computing accessibility while maintaining security through phased authorization and verification mechanisms.
Solution Approach 2:
The patent performs preliminary analysis and verification before formal analysis. The first analysis stage acts as a preliminary action that verifies the analysis model and ensures security compliance before the actual formal analysis occurs. This preliminary verification step enables secure cloud-based confidential data analysis by catching potential security issues early.
3Manufacturing precision
If formal analysis is performed directly on confidential data, then analysis completeness is improved, but risk of data leakage and security breaches increases
Solution Approach 1:
The analysis process is segmented into preliminary analysis (first key) and formal analysis (second key) stages. The preliminary stage verifies the analysis model and data integrity before formal analysis occurs, reducing data leakage risk while ensuring analysis completeness through the two-stage approach.
Solution Approach 2:
The patent performs preliminary analysis and verification actions before the formal analysis on confidential data. This preliminary action validates the analysis model and ensures security requirements are met, thereby reducing data leakage risk while maintaining analysis completeness in the subsequent formal stage.
Data Source
AI summary
The present application is related to system and method for analyzing confidential data. Firstly, a first key is used to obtain a first analysis authorization for proceeding a first analysis responsive to an operational model in an encrypted cloud space with a connection of a network. Then, the result of the first analysis is verified. While the verifying of the operational model is pass, a second key is used to obtain a second analysis authorization for proceeding a second analysis responsive to an operational model without the connection of the network. Thereby, the cloud technique for analyzing data can be applied for analyzing confidential data.