Distributed Ledger Notary Architecture for Data Integrity Assurance
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Solution Overview
Problem
Conventional virtual data room systems lack robust information assurance, including provable integrity and validity of data, leading to concerns about data changes and access availability.
Innovation Solution
A multi-node architecture utilizing hybrid private/public distributed ledgers generates verification information, ensuring data security and confidentiality, with configurable privacy boundaries and user interfaces for seamless integration into existing systems.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If conventional virtual data room systems are used, then data accessibility and ease of operation are improved, but data integrity assurance and reliability are insufficient
Solution Approach 1:
The patent introduces a notary system as an intermediary between the virtual data room and users. This notary system independently verifies data integrity through cryptographic hashing and provides certification, acting as a trusted mediator that enhances reliability without compromising the ease of operation of the underlying VDR system.
Solution Approach 2:
The system implements continuous feedback mechanisms where data integrity is constantly verified through hash comparisons. The notary system provides real-time feedback on data status, and the system automatically detects and reports any integrity violations, creating a closed-loop verification process that maintains reliability while remaining transparent to users.
2Reliability
If data verification mechanisms are added to virtual data rooms, then information assurance and reliability are improved, but system complexity increases
Solution Approach 1:
The patent segments the verification functionality into a separate notary system that operates independently from the core virtual data room architecture. This modular approach allows the VDR to maintain its simplicity while the notary system handles the complex verification tasks, effectively distributing complexity to where it is most needed.
Solution Approach 2:
The system creates cryptographic copies (hashes) of data for verification purposes rather than duplicating the entire verification infrastructure. By working with compact hash representations rather than full data copies, the system achieves comprehensive verification with minimal additional complexity.
3Measurement precision
If public verification information is made available, then transparency and measurement precision are improved, but data confidentiality and security may be compromised
Solution Approach 1:
The patent extracts only the essential verification information (cryptographic hashes and certification data) from the complete data set and makes only this extracted portion publicly available. The actual confidential data remains private, while the extracted verification metrics provide full transparency needed for validation without exposing sensitive information.
Solution Approach 2:
The system applies different quality characteristics to different parts of the data structure. Public portions contain only verification metadata with high transparency, while private portions maintain full confidentiality. This local differentiation allows simultaneous achievement of verification transparency and data security by optimizing each region for its specific purpose.
Data Source
AI summary
Various embodiments can implement a multi-system or node architecture that can be deployed on-demand and augment existing systems with pre-configured nodes that can be installed within existing architecture. The multi-node architecture is flexible for integration into many systems and can also stand alone to provide data validation and assurance. Various embodiments of the multi-node architecture enable private and public distributed ledgers (e.g., blockchains) that enhance security, enhance confidentiality, and eliminate the need to trust the provider/hosts of the data validation information and/or the hosts of the confidential information.


