Quantum Data Security via Segmentation and Trusted Zones
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Solution Overview
Problem
Entities face risks of data breaches when outsourcing quantum-level processing to third-party entities, as existing technologies lack effective security measures to protect sensitive data from unauthorized access or misuse during external processing.
Innovation Solution
Implementing security measures such as data segmentation, obfuscation, and insertion of dummy data to limit access and detect unauthorized access, while using trusted zones to segregate processing functions and maintain confidentiality, ensuring that external entities only process discrete data blocks without access to the entire dataset.
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 security and confidentiality are compromised
Solution Approach 1:
The patent segments the complete dataset into multiple discrete data blocks and distributes them to different third-party quantum processing entities. Each entity receives only a portion of the data blocks rather than the entire dataset, which limits the impact of potential breaches and maintains confidentiality while enabling quantum processing capabilities.
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 manages data block distribution, monitors processing activities, and ensures that entities operate within authorized parameters, thereby enhancing security while maintaining quantum processing capabilities.
2Reliability
If security measures are applied to data sets, then data confidentiality is protected, but processing time is increased
Solution Approach 1:
The patent applies security measures such as data segmentation and encryption to the dataset before distributing it to third-party entities. By preparing the data in advance with appropriate security measures, the system minimizes processing delays during actual quantum operations while maintaining strong confidentiality protections.
Solution Approach 2:
The patent applies security measures selectively to different data blocks based on their sensitivity and processing requirements. Not all data blocks receive the same level of security treatment, which optimizes the balance between confidentiality protection and processing efficiency by avoiding unnecessary security overhead on less sensitive data.
3Reliability
If data is segmented into discrete blocks and distributed to different entities, then security risk is reduced, but system complexity increases
Solution Approach 1:
The patent implements a universal trusted zone architecture that handles multiple functions including data block distribution, security monitoring, entity management, and result aggregation. This multi-functional approach reduces overall system complexity by consolidating management functions into a single trusted zone rather than requiring separate mechanisms for each function.
Solution Approach 2:
The patent incorporates feedback mechanisms where the trusted zone continuously monitors data block processing activities, tracks entity performance, and adjusts data distribution strategies based on observed security events and processing efficiency. This feedback loop enables dynamic optimization of the segmented system, reducing complexity through adaptive management rather than rigid predetermined configurations.
Data Source
AI summary
Systems and method for determining and applying security measures, such as segmentation, obfuscation and/or insertion of dummy data, to data sets determined to require external quantum-level computing processing. In those embodiments in which the data set is segmented, external quantum-level computing processing entities are determined, such that each segment is communicated to a different external entity for subsequent quantum-level computing processing.