Block Computing for Information Silo Security
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Solution Overview
Problem
Entities face risks of data breaches when outsourcing quantum-level processing to third-party entities, as existing security measures fail to adequately protect sensitive data from unauthorized access or misuse during external processing.
Innovation Solution
Implementing data segmentation, obfuscation, and the insertion of dummy data to limit access and detect unauthorized usage, while segregating processing functions across trusted zones to ensure secure quantum-level processing without revealing sensitive information to external entities.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If data is entrusted to third-party entities for quantum-level processing, then quantum computing capabilities are utilized, but data breach risk increases
Solution Approach 1:
The patent divides the complete data set into multiple separate data blocks, each assigned to different third-party quantum processing entities. This segmentation ensures that no single entity possesses the entire data set, thereby reducing the impact of potential data breaches while still enabling quantum-level processing capabilities across distributed entities.
Solution Approach 2:
The patent introduces a trusted zone as an intermediary layer between the data owner and third-party quantum processing entities. This trusted zone applies security measures including data segmentation, obfuscation, and dummy data insertion before data leaves the controlled environment, and verifies processing results before returning them to the data owner.
2Reliability
If data segmentation and security measures are applied, then data breach risk is reduced, but processing complexity increases
Solution Approach 1:
The patent applies security measures including data segmentation, obfuscation, and dummy data insertion in advance within the trusted zone before data is transmitted to third-party entities. This preliminary action ensures security is built into the data structure beforehand, reducing the need for complex real-time security checks during quantum processing.
Solution Approach 2:
The patent extracts complex security management functions into a separate trusted zone component, isolating the complexity from the quantum processing entities. The trusted zone handles data preparation, security measure application, and result verification, allowing quantum entities to focus solely on processing without managing security complexity.
3Difficulty of detecting and measuring
If obfuscation and dummy data are used, then unauthorized access detection is improved, but data processing time increases
Solution Approach 1:
The patent creates dummy data copies that mimic the structure and format of real data but contain no sensitive information. These dummy copies are interspersed with actual data blocks, allowing quantum processing entities to process them without detecting unauthorized access, while the trusted zone can identify anomalies in processing patterns that may indicate security breaches.
Data Source
AI summary
Systems and method for applying security measures to data sets requiring external quantum-level processing. Specifically, segmenting a data set into a plurality of data blocks/segments, such that each data block is communicated to different external entities for subsequent quantum-level computing processing of the data blocks. Once the data blocks have been quantum-level processed by the external entities and returned to the data provider/owner, the data blocks are combined to re-form the data set.